Total 777 Information Technology job vacancies

Executive Summary

Smart IMS Inc provides Digital technology & Cloud transformation services, Application & Infrastructure Management Services, Unified Communications, and Insurance implementation services to customers across the Americas, Europe, Middle East, and Asia-Pacific regions. As the trusted technology and business partner of leading MNCs, including Global Investment Banks, Smart IMS is also a Microsoft Gold Certified Partner, Oracle Platinum Partner and AWS MSP Partner.

We are looking to hire a Data Centre (Design) Specialist in Singapore to support our client, a top global investment bank. The ideal candidate will have relevant experience working on Data Centre design / layout.

Responsibilities:

• Work on the design and planning of Data Centre Halls with a focus on space optimization, power and cooling infrastructure.
• Work closely with vendors and DCO Engineers to align on deliverables and ensure accurate implementation
• Analyse and provide feedback on Data Centre hall plan / layout, ensuring alignment to operational and technical requirements
• Engage and collaborate with internal stakeholders, share findings and proposed plans clearly and effectively
• Identify potential risks and inefficiencies in the data centre design and propose solutions for improvement.
• Evaluate technologies proposed by vendors and assess suitability against current and emerging data center technologies

Required Skills:

• Education Background in computer science, information technology, and/or engineering field
• Possess relevant experience working on Data Centre design
• Knowledge of Data Centre power systems and cooling mechanisms
• Experience of Data Centre capacity management will be advantageous
• Strong communication and interpersonal skills, with the ability collaborate effectively with partner teams, vendors and stakeholders
• Proficiency in designing tools such as AutoCAD will be an advantage

Responsibilities

• Develop, validate, and deploy Machine Learning, Deep Learning, and Generative AI models for production environments
• Partner with business stakeholders to gather requirements and define project objectives
• Design and implement data pipelines for data preprocessing, model training, evaluation, and deployment
• Perform data validation and support data quality improvement initiatives
• Monitor, maintain, and improve analytical models and data systems
• Prepare reports and presentations to communicate findings and recommendations
• Provide technical documentation and support for deployed solutions
• Perform other tasks as assigned by the supervisor

Requirements

• Bachelors degree in Computer Science, Data Science, Engineering, or related discipline
• Internship or academic project experience in data analytics or machine learning is an advantage
• Technical Skills:
• Proficiency in Python and common data science libraries (e.g., pandas, NumPy, scikit-learn, TensorFlow, Keras)
• Fundamental understanding of Machine Learning and Deep Learning algorithms
• Working knowledge of SQL and relational databases (e.g., PostgreSQL, Oracle)
• Exposure to Computer Vision or Generative AI applications will be an advantage
• Experience with data visualization tools (e.g., Tableau or similar platforms) is a plus
• Basic understanding of model deployment and production environments
• Familiarity with manufacturing or industrial data will be advantageous

To apply, please visit www.gmprecruit.com and search for Job Reference: X967567Y

To learn more about this opportunity, please contact Yingying at yingying.lai@gmprecruit.com

We regret that only shortlisted candidates will be notified.

GMP Technologies (S) Pte Ltd | EA Licence: 11C3793 | EA Personnel: Lai Yingying | Registration No: R1110239

• Plan and execute marketing initiatives for AI data center and immersion cooling solutions.
• Create professional content: presentations, solution briefs, case studies, and digital/LinkedIn materials.
• Drive local campaigns, webinars, and events to generate leads and strengthen client engagement.
• Collaborate closely with sales and technical teams to develop customer-facing materials and proposals.
• Represent the company professionally at client meetings and industry events.

Requirements:

• Degree in Engineering, IT, Marketing, Business, or equivalent
• At least 5 years of B2B marketing experience in data centers, IT infrastructure, AI/GPU platforms, or cooling solutions.
• Solid understanding of data center operations, rack layouts, cooling technologies, and GPU-based AI systems.
• Ability to translate technical concepts into clear value propositions for non-technical stakeholders.

If you are keen to apply for the position, kindly email your detailed resume in MS Word to hr@recruit-expert.com

Please note that only shortlisted candidates will be notified.

For more job opportunities, please visit our website at www.recruit-expert.com

EA Licence: 19C9701

Registration: R1326740

Scope of Work:

1. Data Pipeline Development & Management

• Design, build, and maintain robust data pipelines using AWS Glue
• Implement ETL/ELT processes for data ingestion from multiple sources
• Optimize data workflows for performance and scalability
• Monitor and troubleshoot data pipeline failures and performance issues

1. Data Infrastructure & Engineering (with IPOS IT Department)

• Manage and optimize AWS Redshift data warehouse operations
• Configure and maintain data storage solutions (AWS S3, data lakes)
• Implement data partitioning, indexing, and compression strategies
• Support Infrastructure as Code (IaC) for data infrastructure deployment

1. CI/CD & DevOps for Data (with AWS partners and IPOS IT Department)

• Develop and maintain CI/CD pipelines for data workflows using GitLab
• Implement automated testing for data pipelines and data quality
• Support version control and deployment strategies for data assets
• Configure AWS Lambda functions for data processing automation

1. Monitoring & Support (with IPOS IT Department)

• Set up monitoring and alerting for data pipeline health
• Provide technical support for data-related issues
• Collaborate with technical teams on data architecture requirements
• Optimize query performance and database operations

1. Documentation & Reporting (with IPOS IT Department)

• Document data pipeline architectures and technical specifications
• Maintain runbooks and operational procedures
• Conduct monthly progress meetings (1 hour) to report on system health
• Track engineering tasks through SHIP-HATS Jira
• Maintain technical documentation on SHIP-HATS Confluence

Required Skills & Experience:

• Strong background in data engineering and data pipeline development
• Proficiency in SQL, Python, and shell scripting
• Extensive experience with AWS data services (Redshift, S3, Glue, Lambda, CloudWatch)
• Data warehouse design and optimization experience
• Strong CI/CD pipeline knowledge (GitLab preferred)
• Infrastructure as Code (IaC) experience (Terraform, CloudFormation)
• Knowledge of data modeling and database design principles
• Strong troubleshooting and performance optimization skills

What we do matters
Azendian Solutions, an AI, Data Science and Operations Technology company, develops solutions for energy and resource optimisation to achieve a smarterand more sustainable Built Environment by reducing carbon footprint, enhancing resource productivity and operations as well as lowering costs. Our AI-driven solution is game changing in its approach, leveraging on Machine Learning, Data Science, Cloud Computing with Operations Technology engineering systems.

What you will do

• Build and maintain data pipelines to process data from building systems and IoT devices
• Work with real-world engineering data (e.g., equipment performance, energy usage)
• Support development of analytics and AI models for:
• Anomaly detection
• Predictive maintenance
• Performance optimization
• Assist in setting up systems and environments for Databases (SQL), basic server setup (Windows/Linux) and running applications using Docker or microservices
• Use modern tools (including AI-assisted tools) to improve productivity and workflows
• Collaborate with engineering and product teams to deliver real-world solutions

Core Responsibilities

·      Data Engineering & Pipeline Development

·      Data Integration (BMS / IoT Systems)

·      Analytics & AI Enablement

·      Data Quality & Performance Optimization

·      Collaboration & Delivery

Job Requirements

·           Diploma or equivalent in Electrical/Electronic Engineering or Computing Engineering, Information Technology or related field.

·           Minimum 1 year of relevant experience in data engineering, software engineering, or engineering systems.

·           Strong foundation in Python and SQL (MSSQLand/or PostgreSQL).

·           Familiarity with data processing, ETL pipelines, or data management concepts.

·           Experience or interest in working with real-world data (e.g., IoT, engineering systems, or operational data).

·           Knowledge in BMS communication protocols (BACnet and Modbus) is preferred but not required.

·           Basic familiarity with system setup (e.g databases, Windows/Linux environment, or Docker) is an advantage.

·           Experience with workflow orchestration tools (e.g., Airflow, Prefect) is a plus.

·           Exposure to data analytics or machine learning concepts is a plus.

·           Familiarity with AI-assisted tools or automation tools is an advantage.

·           Strong logical and analytical skills.

·           Willingness to learn and work across data systems, and AI domains.

·           Able to work comfortably and independently in a fast-paced environment.

You own the storage layer and cloud infrastructure provisioning. You design the multi-tenant data architecture that makes IP isolation possible and auditable: shared public data stores for market data, and per-tenant isolated stores for proprietary data. Every table, bucket, and index is either explicitly shared or explicitly tenant-scoped. You provision all infrastructure as code and ensure that onboarding a new tenant is a scripted operation, not a manual one.

Responsibilities

• Provision all cloud infrastructure via Terraform: object storage, vector databases, event streaming, Kubernetes, time-series databases, authentication. All reproducible for new tenants.
• Design multi-tenant storage: shared vector indices for public data, per-tenant indices for proprietary data. Row-level security or schema-level isolation.
• Design per-tenant storage structure with bucket policies enforcing isolation.
• Build market data storage pipeline: exchange feeds → event bus → time-series database.
• Build monitoring dashboards for data pipeline health across all data sources.
• Design feedback data storage: per-tenant schema for feedback events and training data candidates.
• Build data archival pipelines for cost-efficient long-term storage.
• Automate tenant provisioning: a script that creates a new tenant’s storage, network policies, and service accounts.

Requirements

• 4+ years data engineering; strong SQL, Python, and cloud infrastructure.
• Experience designing multi-tenant data architectures with isolation requirements.
• Infrastructure as Code: Terraform or Pulumi — mandatory.
• PostgreSQL experience (vector extensions, partitioning, row-level security a plus).
• Kafka consumer/producer development.
• Time-series data storage and querying experience.

Nice to have

• Experience with financial data: time-series, tick data, on-chain events.
• Understanding of data sovereignty and compliance requirements.
• Experience with tenant provisioning automation.
• Blockchain or crypto data pipeline experience.

Company Overview

Infogain Solutions is a leading IT services company specializing in IT solutions, staffing, and recruitment across industries including financial services, IT, and audit firms. We connect professionals with organizations to drive business growth and innovation.

Job Summary

As a Data Engineer, you will design and implement scalable data pipelines and infrastructure using Spark, Hadoop, and container platforms to support large-scale data processing and analytics.

Responsibilities

• Design, develop, and implement Spark Scala applications and data pipelines to process large volumes of structured and unstructured data efficiently
• Integrate Elasticsearch with Spark to enable effective data indexing, querying, and retrieval
• Optimize Spark jobs for performance and scalability to ensure efficient data processing and indexing in Elasticsearch
• Collaborate with data engineers, data scientists, and stakeholders to translate requirements into technical specifications and solutions
• Design and deploy data engineering solutions on OpenShift Container Platform using containerization and orchestration techniques
• Optimize containerized data workflows for efficient resource utilization and deployment
• Work with DevOps teams to streamline deployment processes, implement CI/CD pipelines, and maintain platform stability
• Monitor and troubleshoot data pipeline performance issues, implementing enhancements to improve reliability and efficiency
• Implement monitoring and logging mechanisms to ensure data infrastructure health, availability, and performance
• Document data engineering processes, workflows, and infrastructure configurations for knowledge sharing and reference
• Stay current with emerging technologies, industry trends, and best practices in data engineering and DevOps
• Provide technical leadership and mentorship to junior team members to foster continuous learning and innovation

Required competencies and certifications

• Bachelor's degree in Computer Science, Data Engineering, Information Technology, or related field
• Minimum 10 years of experience as a Data Engineer working with Hadoop, Spark, and large-scale data processing technologies
• Expertise in designing and developing data infrastructure using Hadoop, Spark, and related tools (HDFS, Hive, Ranger)
• Experience with containerization platforms such as OpenShift Container Platform and Kubernetes orchestration
• Proficiency in programming languages used in data engineering such as Spark, Python, Scala, or Java
• Knowledge of DevOps practices, CI/CD pipelines, and infrastructure automation tools including Docker, Jenkins, Ansible, and BitBucket
• Strong problem-solving and troubleshooting skills with a proactive approach to resolving technical challenges
• Excellent collaboration and communication skills to work effectively with cross-functional teams
• Ability to manage multiple priorities, meet deadlines, and deliver high-quality results in a fast-paced environment

Preferred competencies and qualifications

• Experience with monitoring tools such as Grafana, Prometheus, and Splunk
• Experience with cloud platforms and their data services (e.g., AWS, Azure, GCP)

This role is required to design and build high volume backend data processing systems for Razer’s Artificial Intelligence (AI) gaming products. The ideal candidate is responsible for developing and implementing data pipelines, data storage systems, and backend application software, while working closely with frontend engineers, data scientists, and machine learning engineers to enable Gen AI capabilities.

Essential Duties and Responsibilities

• Design and implement data systems that enable the organization to store, process, and analyze large volumes of data. This involves developing data pipelines, designing scalable data processing systems in support of Gen AI capabilities.
• Manage data lakes, knowledge bases, and application databases. This involves creating and managing table schemas, views, materialized views, including tokenization techniques for Gen AI.
• Develop and templatize data pipelines that enable high volume extract, transform, and load operations from various sources – particularly API-based or web-based data ingestion.
• Design, develop, and maintain highly performant, scalable, and robust backend systems and server-side logic - including maintenance and optimization of backend infrastructure for changing product requirements.
• Collaborate with data scientists and machine learning engineers to understand the data needs of various stakeholders across the organization and integrate appropriate solutions.

Requirements

• Ability to work in fast paced, high pressure, agile environment.
• Ability and willingness to learn and apply new technologies
• Strong in programming languages such as Python, SQL.
• Experience in developing and deploying applications running on cloud infrastructure such as AWS, Azure or Google Cloud Platform using Infrastructure as code tools such as Terraform, containerization tools like Dockers, container orchestration platforms like Kubernetes
• Experience in system design and building scalable, high concurrency user applications
• Familiarity with a wide variety and genres of video games, and the gaming industry in general.
• Excellent with various data processing techniques (streaming, batch, event-based), managing and optimizing data storage (Data Lake, Vector Data Stores and Database, SQL, and NoSQL) is essential.
• Excellent problem-solving and analytical skills, with an understanding of Gen AI technologies and their applications
• Experience using orchestration tools like Airflow or Prefect is preferred
• Excellent written and verbal communication skills for coordinating across teams.
• Experience and Interest to keep up with the advancement in the Data Engineering Field
• Has a Bachelor's or Master’s degree in computer science or similar discipline.

Job Responsibilities:

• Data Analysis & Trend Identification:

  • Analyze large datasets to identify key trends, patterns, and correlations across the BreadTalk Group.

  • Provide data-driven insights to help the leadership team make informed decisions and define strategic directions for the business.

• BTGR Data Management:

  • Take ownership of managing and analyzing BTGR data, focusing on member profiles, demographic analysis, divisional sales, transaction counts, SKU performance, and store performance.

  • Ensure data accuracy and consistency across all data touchpoints.

• Strategic Recommendations:

  • Work closely with the brand and management teams to deliver strategic recommendations based on data analysis.

  • Assist in determining the right strategic moves for various brands within the BreadTalk Group, based on insights gained from data.

• Data Extraction & Reporting:

  • Extract, consolidate, and analyze data from multiple sources and systems, ensuring data integrity.

  • Generate comprehensive reports for stakeholders, addressing data discrepancies and ensuring accurate, timely reporting.

• Cross-Departmental Collaboration:

  • Collaborate with various departments (Marketing, Finance, Operations, etc.) to ensure alignment of data insights with business needs.

  • Assist teams in improving business processes through data-driven decision-making.

• Customer Service Analytics:

  • Analyze customer service data to identify areas for improvement, enhancing service quality and customer satisfaction.

Job Requirements:

• Education: Diploma/Bachelor’s degree in Data Science, Statistics, Business Analytics, or a related field.

• Experience: Candidates with relevant internship experience are welcome to apply. 0-2 years of experience in data analysis, business intelligence, or a related role, preferably in retail, F&B, or a similar industry.

• Technical Skills:

  • Proficiency in data analysis tools (e.g., SQL, Excel, Python, R, or similar).

  • Experience with data visualization tools (e.g., Tableau, Power BI).

  • Strong knowledge of data management and reporting processes.

• Soft Skills:

  • Strong analytical and problem-solving skills.

  • Excellent communication and presentation skills.

  • High attention to detail and accuracy in reporting.

  • Ability to work collaboratively with cross-functional teams.

Other: Knowledge of customer analytics and sales performance metrics is a plus.

About the Job

We are seeking a skilled and detail-oriented Data Engineer to design, develop, and maintain robust data pipelines and ETL solutions. This role involves working closely with cross-functional teams to ensure data quality, scalability, and alignment with business and technical requirements.

• Design, develop, test, and maintain scalable ETL pipelines to meet business, technical, and user requirements.
• Collect, refine, and integrate new datasets. Maintain comprehensive documentation and data mappings across multiple systems.
• Create optimized and scalable data models that align with organizational data architecture standards and best practices.
• Drive continuous improvement in data quality through optimization, testing, and solution design reviews.
• Ensure all solutions conform to big data architecture guidelines and long-term roadmap.
• Implement robust monitoring, logging, and alerting systems to ensure pipeline reliability and data accuracy.
• Apply best practices in data engineering to design and build reliable data marts within the Hadoop ecosystem for planning, reporting, and analytics.
• Maintain and optimize data pipelines to ensure data accuracy, integrity, and timeliness.
• Manage code in a centralized repository with clear branching strategies and well-documented commit messages.
• Coordinate with stakeholders to ensure smooth production deployment and adherence to data governance policies.
• Proactively identify and implement improvements to data engineering processes and workflows.
• Develop end-to-end solutions for data modeling in the data warehouse, including data acquisition, contextualization, and integration with business processes.
• Ensure adherence to development standards and perform periodic reviews to maintain pipeline performance and sustainability.
• Coordinate and conduct testing with stakeholders to ensure effective deployment of data pipelines and dashboards.
• Serve as the primary data engineering contact at the stakeholder location, ensuring clear communication and alignment on priorities
• Monitor data pipelines continuously and collaborate with stakeholders to troubleshoot and optimize performance.
• Leverage domain knowledge in insurance to design data models and pipelines that support business processes and analytics.
• Work closely with business stakeholders to understand requirements and translate them into scalable data engineering solutions.

We are looking for people who

• Diploma with at least 10 years’ working experience, preferably in Life Insurance
• Proven experience in data engineering, ETL development, and big data technologies
• A strong team player who is meticulous, detail-oriented, and capable of performing under pressure
• Proficiency in tools and platforms such as Hadoop, Spark, Hive, and cloud data services (e.g., AWS, Azure, GCP).
• Possesses strong problem-solving and interpersonal skills.
• Committed, dependable, and adaptable with the flexibility to support during peak periods and tight deadlines
• Demonstrate high integrity, accountability, and a collaborative mindset
• Takes initiative to improve current state of things and embrace change

How you succeed

• Champion and embody our Core Values in everyday tasks and interactions.
• Demonstrate high level of integrity and accountability.
• Take initiative to drive improvements and embrace change.
• Take accountability of business and regulatory compliance risks, implementing measures to mitigate them effectively.
• Keep abreast with industry trends, regulatory compliance, and emerging threats and technologies to understand and highlight potential concerns/ risks to safeguard our company proactively.

Who we are

Founded in 1908, Great Eastern is a well-established market leader and trusted brand in Singapore and Malaysia. With over S$100 billion in assets and more than 16 million policyholders, including 12.5 million from government schemes, it provides insurance solutions to customers through three successful distribution channels – a tied agency force, bancassurance, and financial advisory firm Great Eastern Financial Advisers. The Group also operates in Indonesia and Brunei.

The Great Eastern Life Assurance Company Limited and Great Eastern General Insurance Limited have been assigned the financial strength and counterparty credit ratings of "AA-" by S&P Global Ratings since 2010, one of the highest among Asian life insurance companies. Great Eastern's asset management subsidiary, Lion Global Investors Limited, is one of the leading asset management companies in Southeast Asia.

Great Eastern is a subsidiary of OCBC, the longest established Singapore bank, formed in 1932. It is the second largest financial services group in Southeast Asia by assets and one of the world’s most highly-rated banks, with an Aa1 rating from Moody’s and AA- by both Fitch and S&P. Recognised for its financial strength and stability, OCBC is consistently ranked among the World’s Top 50 Safest Banks by Global Finance and has been named Best Managed Bank in Singapore by The Asian Banker.

To all recruitment agencies: Great Eastern does not accept unsolicited agency resumes. Please do not forward resumes to our email or our employees. We will not be responsible for any fees related to unsolicited resumes.

About the job

We deliver the best solution's in the world, with the brightest minds on the map.

What are the issues that matter most to you? Climate change, national security, disaster response?

At Esri Singapore and solutions and get an inside look into the real-world challenges that shape our future.

1. We turn problems into opportunities, and that takes two things:
2. The most powerful GIS technology and solutions.

Driven, talented, and passionately curious people.

Here we connect them, and that ’show we achieve incredible things for communities, economies, and for yourcareer.

About the role

• GIS Managed Servicesoperations:  Perform comprehensive systemchecks after monthly OS, database, middleware, and application patching.
• Validate system availability,performance, and functionality against defined acceptance criteria.
• Review system logs, alerts, andmonitoring dashboards to detect anomalies or errors.
• Collaborate withstakeholders:  Engage with clients andinternal teams to gather requirements, prepare datasets, and ensure claritybetween technical work and client needs.
• Design and configuration:Configure ArcGIS tools and components in line with Esri best practices, toimplement geoprocessing and data workflows.
• Prepare and process data:  Import, clean, transform, and organizetabular and geospatial data using ArcGIS Pro and basic ETL tools.
• Service publishing:  Prepare and publish Map and Feature servicesand help maintain service configurations within ArcGIS Pro and ArcGIS Online.
• Perform spatial analysis:  Build analysis workflows and tools,leveraging the capabilities of ArcGIS product lines and relevant Pythonlibraries.
• Automate workflows:  Use Python scripting and DevOps tools (e.g.,Azure) to automate routine tasks and reduce manual work.
• Ensure data quality. Apply datavalidation, QA checks and documentation to maintain accuracy and consistencyacross datasets.
• Develop interactiveproducts:  Create engaging web maps,scenes, dashboards, and apps using ArcGIS Online and ArcGIS Enterprise.
• Build product and domainexpertise:  Continuously build yourknowledge of the ArcGIS platform and the industries we serve (utilities, publicsafety, environment, government, etc.).
• Contribute to a high-performanceteam: Share learnings, support teammates, and help improve team processes, documentation, and internal tools.

About you

To be successful you will need to bring along:

Qualifications and experience, skills and behaviours

• Bachelor’s or master’s degree in computer science, GIS, Geography, Environmental Science, Urban Planning, or a related field.
• Strong in fundamentals with experience in ArcGIS Pro.
• Proficiency in Python and familiarity with geospatial libraries.
• Experience with version control tools (e.g., Git, Azure DevOps).
• Knowledge of database design and SQL.

Preferred Skills:

• Experience with FME or other spatial ETL tools.
• Experience in web mapping tools such as ArcGIS Online, Dashboards, and Experience Builder.
• Knowledge of scripting languages or automation tools beyond Python (e.g., PowerShell, Bash).
• Familiarity with ArcGIS Enterprise components, including ArcGIS Server and Portal.
• Familiarity with cloud platforms (Azure, AWS).
• Curiosity-drivenexperimentation and familiarity with emerging AI tooling.

Discover how our values shape our impact, your journey begins with one click here: Our people

For further details or if you have any questions, please contact our Talent Acquisition team by mail atfyee@esrisingapore.com.sg (Fionn)

Please note that Esri Singapore does not accept unsolicited resumes from recruiters or employment agencies.

We are a 2025 Circle Back Initiative Employer – we commit to respond to every applicant. 

Overview

Element has an opportunity for Data Processor whose primary responsibility is to serve as a regional expert in expert of analytical instrumentation, analyzing various matrixes, installation, servicing & maintenance of sophisticated analytical instruments.

This role is based in Kaki Bukit Singapore.

Responsibilities

• Collect, process, and validate geotechnical/structural monitoring data.
  
• Maintain data records, prepare reports, and highlight anomalies.
  
• Operate data loggers and monitoring systems; troubleshoot as needed.
  
• Coordinate with field teams for data retrieval and equipment checks.
  

#LI-CL1

Skills / Qualifications

• Diploma/Degree in Engineering, Geotechnical, Instrumentation, or related field
  
• Proficient in Excel; familiarity with instrumentation software an advantage
  
• Detail-oriented with good analytical and communication skills
  
• Experience in construction or infrastructure monitoring preferred
  

Company Overview

Element is one of the fastest growing testing, inspection and certification businesses in the world. Globally we have more than 9,000 brilliant minds operating from 270 sites across 30 countries. Together we share an ambitious purpose to ‘Make tomorrow safer than today’.

When failure in use is not an option, we help customers make certain that their products, materials, processes and services are safe, compliant and fit for purpose. From early R&D, through complex regulatory approvals and into production, our global laboratory network of scientists, engineers, and technologists support customers to achieve assurance over product quality, sustainable outcomes, and market access.

While we are proud of our global reach, working at Element feels like being part of a smaller company. We empower you to take charge of your career, and reward excellence and integrity with growth and development.

Industries across the world depend on our care, attention to detail and the absolute accuracy of our work. The role we have to play in creating a safer world is much bigger than our organization.

Job purpose:

The incumbent will play a pivotal role in ensuring the team’s upholding of strict compliance with anti-money laundering and sanctions guidelines, all relevant/related regulations and internal guidelines. He/She is also expected to ensure all local addendums, procedures, processes are up-to-date with global requirements and/or local regulatory standards, provide regular updates to GS-Ops – Operations and CVT Singapore Team Head / GS-Ops – Operations and CVT Asia Regional Head and perform escalations where required.

Key activities:

General

• Understand and comply with Commerzbank’s Code of Conduct
• Ensure compliance to AML, Sanctions, KYC and other relevant policies, procedures and regulations
• Support initiatives related to changes in the regulatory landscape, system enhancements or updates
• Provide support in potential remediation reviews
• Provide support for on-site activities as assigned
• Provide team coverage where required
• Assist with any other duties or projects as assigned by GS-Ops – Operations and CVT Singapore Team Head / GS-Ops – Operations and CVT Asia Regional Head
• Understand Commerzbank structure, client coverage/segmentation and products/services offered to clients in international Commerzbank locations

Role Specific – Client Verification (“CV”) Focused, Account Administration (“AA”) Focused, Operations Focused

• Local Addendums Maintenance and/or Control (inc. but not limited to the KYC Handbook, Screening Procedure, AWLF Alert Handling Procedure, Adonis Processes, AA Desktop Procedures, Standard Operating Procedures etc)
• Representative for Branch on regional / global procedural topics
• Project Support for CV / AA / Operations initiatives, including but not limited to data control and governance
• Outsourcing standards / service quality, Control and Governance
• Systems process expert (inc. but not limited to AOPX, Actimize, Phoenix, Asia Reporting Platform, Summit, Easymatch, TRAM etc)
• Process Control (inc. Adonis Processes, Standard Operating Procedures)
• Planning and conducting trainings and knowledge sharing sessions (including but not limited to system/process/procedural trainings to service provider/team members)

Formal education:

• Bachelors or Masters degree in Business Administration, Finance, Science or similar education
• Completed apprenticeship / training in the financial industry or similar education

Specialist knowledge (work experience, further qualification):

• At least 5 years professional experience in Banking and Market Operations and/or Client On-boarding / KYC operations and/or Anti-Money Laundering functions at a large financial institution
• Working experience in an international environment is a plus
• Advanced knowledge of Financial Crime prevention, local and international sanctions and Know Your Customer requirements
• Well versed with respective global / local regulatory requirements and market practices
• Act in line strictly with all internal and external laws, policies, and guidelines e.g. ComValues, Culture of Integrity, Code of Conduct, ABC Policy, TRM etc.
• Proficient use of MS Office Suite
• Fluent in English; German and/or other language skills is a plus
• Excellent analytical, oral and written communication and interpersonal skills
• Strong attention to details required
• Advanced time management skills and ability to execute tasks within tight deadlines
• Ability to work independently or with limited guidance and seek for advice proactively
• Good teamwork attitude to share responsibilities and confer with others
• “Hands-on” approach in the day to day operation
• Resourceful and have good motivational and conflict management skills

Data Centre Engineer (1-Year Contract)

Company: Leading Banking Institution
Location: Singapore
Employment Type: 1-Year Contract (Completion Bonus Provided)
Work Schedule: 24x7 Environment (On-call rotation required)

Role Overview

We are seeking an experienced Data Centre Facilities Engineer to support and maintain critical infrastructure within a high-availability banking environment. This role is pivotal in ensuring the reliability, security, and operational efficiency of the data centre.

Key Responsibilities

• Monitor and maintain critical data centre infrastructure, including power systems (UPS, generators), HVAC, fire suppression, and structured cabling
• Coordinate with building landlords and vendors to ensure timely preventive maintenance and compliance with safety standards
• Respond to system alarms, troubleshoot issues, and drive prompt resolution
• Support after-hours activities, including on-call duties and emergency response
• Ensure adherence to data centre physical security policies and procedures
• Follow incident management processes, track issues to closure, and provide timely updates to stakeholders
• Prepare management reports including performance metrics, incident summaries, and root cause analysis
• Support ongoing operational improvements and infrastructure-related projects

Key Requirements

• Minimum 5 years of experience in data centre facility management
• Proven experience in 24x7 high-availability environments (on-call support required)
• Strong knowledge of:Electrical systems (UPS, generators)HVAC systemsFire suppression systems
• Familiarity with structured cabling and rack-and-stack activities is an advantage
• Good understanding of ITIL-based incident, problem, and change management
• Strong troubleshooting and problem-solving skills
• Excellent communication and stakeholder management abilities
• Mandatory: Prior experience in data centre operations within a financial institution

Responsibilities:

• Data Infrastructure: Build, implement, and maintain scalable data pipelines and storage architectures.
• Data Quality: Maintain strong data integrity by ensuring reliability, consistency, and accuracy across all data processes.
• Performance Optimization: Enhance system efficiency by tuning data processing workflows and improving large-scale performance.
• Process Improvement & Mentoring: Strengthen data engineering practices while providing guidance and support to junior engineers.
• Cross-Functional Collaboration: Partner with business analysts, data scientists, and backend teams to deliver timely and actionable data solutions.

Qualifications:

• 5+ years’ experience in data engineering or backend roles, with strong programming skills in Python or Java/Scala.
• Hands-on experience with big data tools: Spark, Flink, Kafka, Airflow, and cloud platforms (AWS, GCP, Azure); proficient in SQL.
• Skilled in designing and maintaining data models, warehouses, and ETL/ELT pipelines for scalable, reliable systems.
• Knowledgeable in data quality, governance, security, and compliance best practices.

We regret only shortlisted candidates will be contacted. All applications will be handled confidentially. By submitting your application, you agree to the collection, use, retention, and disclosure of your personal information to prospective employers.

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EA License No: 20C0270
EA Personnel: Nyon Hock Sen (Aden)
EA Personnel Reg No: R24124070

Location: CBP

Key Responsibilities

Workforce Reporting & Analytics

• Prepare and maintain regular headcount/ workforce reports

• Consolidate data from multiple sources into clear management-ready views.

Staffing & Resource Management

• Coordinate end-to-end staffing requests including new hires, renewals, and replacements, ensuring completeness and data accuracy.

• Track and maintain staffing approvals, reviews and key initiatives, and follow up with stakeholders on outstanding actions.

Governance & Process

• Ensure staffing requests comply with approved demand–supply plans, budget controls, and internal guidelines.

• Documentation of staffing processes, templates, and changes.

• Highlight risks, exceptions, and data gaps for PMO and management attention.

Stakeholder Coordination

• Liaise with multiple stakeholders e.g. hiring managers, finance on all workforce-related matters.

• Support preparation of materials for governance forums and management approvals.

Skills & Experience

• Strong Excel skills (data consolidation, pivots, structured reporting).

• Good attention to detail with ability to manage large datasets accurately.

• Clear written and verbal communication skills.

• Ability to manage multiple requests and deadlines in a structured manner.

• 4–7 years of PMO, workforce/ resource management, or similar operational support experience.

• Prior experience in technology or large enterprise environments preferred.

Registration No. / Unique Entity Number: 199801439D

Disclaimer: The company is committed to ensuring the privacy and security of your information. By submitting this form, you consent to the collection, processing, and retention of the information you provide. The data collected (which may include your contact details, educational background, work experience and skills) will be used solely for the purpose of evaluating your qualifications for the position you're applying for. Your data will be stored securely and retained for the duration necessary to fulfill our hiring process. If you are not selected for the position, your data will be kept on file for a limited period in case future opportunities arise. You have the right to access, correct, or delete your data at any time by contacting us at Quess Singapore | A Leading Staffing Services Provider in Singapore (quesscorp.sg)

“This is in partnership with the Employment and Employability Institute Pte Ltd (“e2i”).

e2i is the empowering network for workers and employers seeking employment and employability solutions. e2i serves as a bridge between workers and employers, connecting with workers to offer job security through job-matching, career guidance and skills upgrading services, and partnering employers to address their manpower needs through recruitment, training, and job redesign solutions. e2i is a tripartite initiative of the National Trades Union Congress set up to support nation-wide manpower and skills upgrading initiatives. By applying for this role, you consent to Quesscorp Singapore’s PDPA and e2i’s PDPA.”

Product area

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Job description

A problem isn’t truly solved until it’s solved for all. That’s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you’ll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You’ll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers. 

Additional job description

Google Cloud provides organizations with leading infrastructure, platform capabilities and industry solutions. We deliver enterprise-grade cloud solutions that leverage Google’s technology to help companies operate more efficiently and adapt to changing needs, giving customers a foundation for the future. Customers in more than 150 countries turn to Google Cloud as their trusted partner to solve their most critical business problems.

Google is transforming how hyperscale data centers are planned, designed, and built from custom, stick-built, multi-year construction monoliths to manufactured, modular, just-in-time deployments of fungible capacity. The Product Development and Insertion (PDI) organization under Data Center Technology and Systems (DCTS) is the execution arm of the development of such fungible capacity. PDI, working alongside the different pillars within DCTS, drives and provides ownership of the various products and programs that will enable the future modular technology for Google Cloud.

Qualifications

Job responsibilities

• Execute scope for cross-functional product development of new products and programs. Guide products through the product lifecycle process.
• Work with upstream and downstream partner teams across data centers, specifically, supply chain, construction and execution teams, hardware and software operations to help execute successful product insertions.
• Lead the site intercept process quickly assesses specific data center sites for their ability to adopt emerging design configurations. Align, plan and deliver Data Center design delivery.
• Develop and execute tech insertion cut-in framework that defines the point of no return for design changes based on construction schedules and supply chain lead times.
• Orchestrate executive decision support and reporting and process optimization (speed to plan). Execute scope for cross-functional product development of new products and programs, stretching to address undefined challenges with limited guidance.

Minimum qualifications

• Bachelor's degree in a technical field, or equivalent practical experience.
• 5 years of experience in program management.
• Experience in data center engineering and product design.

Preferred qualifications

• Certifications like Managing Successful Programmes (MSP)/Management of Risk (MOR).
• Experience in technical and product program management.
• Experience managing risk of product and programs, implementing mitigation plans.
• Ability to influence cross-functional team members and stakeholders.
• Ability to navigate ambiguity and succeed at a fast pace of change.

Job Summary

Support digitalisation initiatives by developing dashboards to improve visibility of operational risks and hazards. This role focuses on creating user-friendly data visualisation tools to enhance workplace safety and decision-making.

Job Responsibilities

• Design and develop dashboards to visualise risks and hazards across operational areas
• Gather and organise data to ensure accuracy and clarity in reporting
• Work with stakeholders to understand requirements and improve dashboard usability
• Maintain and update dashboards to reflect latest data and insights
• Support digitalisation and process improvement initiatives

Requirements

• Diploma in a relevant field (e.g. Engineering, IT, Data Analytics)
• Knowledge of dashboard tools such as Power BI, Power Apps, or similar platforms

All qualified applicants, please click “ APPLY NOW”

Or you may send in your resume to:

Whatsapp: https://wa.me/+6597430026  

Email : kimlow@recruitexpress.com.sg

Kimmy Low Yi Ting (Kim) | CEI Registration Number: R23112122

Recruit Express Pte Ltd Company Reg. No. 199601303W | EA LICENCE Number: 99C4599

Data Entry cum Admin Clerk
Salary: $1800 - $2200
Working Days: Mon - Fri | 8.30am - 6pm
Location: Downtown

Job Responsibilities:

• Manage administrative duties
• Data Entry
• Other Ad hoc duties as assigned

Requirements:

• Training Provided

Email: supreme.jacksontan@gmail.com

Tan Yong Zhi (Jackson) | Reg: R24124461

The Supreme HR Advisory Pte. Ltd | EA No: 14C7279

Job Summary

Corporate and Investment Banking (CIB) at Standard Chartered Bank has embarked on an ambitious journey to incorporate the latest AI and data science capabilities in all aspects of our business. This includes our Financial Markets and Transaction Banking businesses. To that end, we are seeking a senior data scientist with strong background and experience in developing and deploying sound AI solutions using both the classical machine learning techniques as well as the latest Large Language Models.

Key Responsibilities

• Liaise with product owners and business stakeholders, identify pain points and business use-cases and gather requirements

• Understand business use-cases and develop AI/ML solutions for various business use-cases in collaboration with product owners and the wider team

• Productionize the developed solutions in collaboration with MLOps Engineer and the wider Tech and Data team

• Stay up-to-date with recent developments in Data Science and NLP domains: algorithms, best practices etc. and disseminate them across the team

• Mentor and upskill more junior team members

Strategy

• Support the development of data and AI solutions in cooperation with business stakeholders, IT teams and other relevant parties and to assure that solutions are aligned to the business strategy, released on time, on budget and with high quality.

Governance

• Ensure data quality (DQMF) is applied for data analytics and AI projects

• Adherence to Risk & Data Quality Management Requirements

• Risk and Audit Continuous management of the Trade Application System risk

• Proactively identify issues and actions

• Monitor and remediate issues and actions from audits

• Awareness of the regulatory requirements and ensuring these are catered for in the platform design

Regulatory and Business Conduct

• Display exemplary conduct and live by the Group’s Values and Code of Conduct.

• Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct.

• Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters.

Key stakeholders

• Technology and Engineering teams across the bank

• Corporate and Investment Banking (CIB) business teams

• Digital, Data & Coverage Platforms (DDCP)

Our Ideal Candidate

• Degree in Computer Science, Software Engineering, IT, or related fields

• 6+ years of experience in machine learning, data science and/or other relevant quantitative roles -Banking,finance, fraud, risk

• Proficient in Object-Oriented Programming (OOP) in Python

• Experienced Data Scientist with in-depth knowledge of machine learning, deep learning and statistical analysis techniques

• Experience in NLP/DocumentAI, Entity Matching, Anomaly and Fraud detection would be an advantage

• Proficient in using ML, DL, and NLP libraries such as Scikit-learn, HuggingFace, LangChain and PyTorch

• Experience in using big data tools such as Hadoop, Spark and Hive in a cloud environment would be beneficial

• Familiar with CI/CD and MLOps frameworks and building end-to-end ML pipelines

• Experienced in leading and delivering data science projects and supervising/mentoring junior resources

• Experience in working in an agile environment

• Excellent communication skills with the ability to convey complex technical concepts to non-technical stakeholders

• Self-driven and highly motivated professional with a strong sense of ownership and a passion towards delivering high-quality client solutions

Role Specific Technical Competencies

• Data Science

• Python

• NLP

• Deep Learning

• Stakeholder Management

About Standard Chartered

We're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us.

Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion.

Together we:

• Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do

• Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well

• Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term

What we offer

In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing.

• Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations.

• Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum.

• Flexible working options based around home and office locations, with flexible working patterns.

• Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits

• A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning.

• Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential.

Recruitment Assessments

Some of our roles use assessments to help us understand how suitable you are for the role you've applied to. If you are invited to take an assessment, this is great news. It means your application has progressed to an important stage of our recruitment process.

Visit our careers website www.sc.com/careers

Join our Global Commercial Operations team and transform numbers into business breakthroughs. This is where your passion for data meets real-world influence!
 

Please note: This is a 9-month contract role, no relocation assistant is offered
 

Core Responsibilities:

• Build global and regional reporting solutions within Power BI using DataBricks to connect data sets to deliver the requirements.
• Identify problems and shortfalls, propose solutions in relation to the Reporting structure.
• Reports will support key developments that are built for scale to enable future implementations faster and more reliable:
  1. Operational Reports: Enable end users to more efficiently identify focus areas for in-cycle planning.
  2. Functional & Performance Management Reports: Track defined Key Performance Indicators to drive forecast improvement, root causes and corrective actions.
  3. Executive Reporting: Provide latest and greatest update on State of Affairs as well as enabling decision-making.
  4. Governance Reports: Track the adoption of processes and digital tools (where applicable) towards universal global standard way of working.
   
• Prepare presentations that convey project status and proposals to drive better outcome.
• Ongoing support of management information requests and special projects as assigned.

Play your part in our team succeeding!

The team you support is responsible for forecasting the long-term horizon for both sell in and consumer sales in all regions across the globe. These Forecasts are a key part of understanding our business potential and identifying the areas that need focus versus our commercial ambitions.

This role will build a scalable centralised reporting and management system as well as a systematic tracker on the adoption and alignment.

Do you have what it takes?

• Degree in Supply Chain, Mathematics, Statistics, Engineering or other quantitative field with 3- 5 years of experience.
• Strong numerical reasoning skills with experience working in large data sets, and data-driven argumentation.
• Solid skills in building interactive dashboards and reports, proficient in DAX for advanced calculations and measures.
• Experience with Power Query (M language) for data transformation, including ETL processes, data pipelines and data architecture. Familiarity with connecting Power BI to multiple sources (Dataflows, Azure Databricks etc.)
• Knowledge of row-level security, workspace and Power BI app management.
• Experience in data modelling and design, knowledge in schemas for e.g. Star & snowflake
• Advanced excel for data validation, including the use of pivot tables and advanced formulas like VLOOKUP.
• Exceptional organizational skills, with problem-solving mentality, strong execution skills and attention to detail are essential.
• Excellent social skills, to collaborate seamlessly across functions; and to present complex technical.
• concepts clearly to both technical and non-technical collaborators.
• Comfortable participating in change initiatives related to digital transformation projects including system implementations or upgrades.
• Self-motivated, goal-oriented, and able to meet deadlines.
• Able to work independently with good sense of responsibility and minimal supervision.
• Flexible and adaptable to project changes.

Applications are reviewed on an ongoing basis. However, please note we do amend or withdraw our jobs and reserve the right to do so at any time, including prior to any advertised closing date. So, if you're interested in this role we encourage you to apply as soon as possible.

What’s in it for you?

Here is what you can expect:

Family Care Leave - We offer enhanced paid leave options for those important times.

Insurances – All colleagues are covered by our life and disability insurance which provides protection and peace of mind.

Wellbeing - We want our people to feel well and thrive. We offer resources and benefits to nurture physical and mental wellbeing along with opportunities to build community and inspire creativity.

Colleague Discount – We know you'll love to build, so from day 1 you will qualify for our generous colleague discount.

Bonus - We do our best work to succeed together. When goals are reached and if eligible, you'll be rewarded through our bonus scheme.

Workplace - When you join the team you'll be assigned a primary workplace location i.e. one of our Offices, stores or factories. Our hybrid work policy means an average of 3 days per week in the office. The hiring team will discuss the policy and role eligibility with you during the recruitment process.

Children are our role models. Their curiosity, creativity and imagination inspire everything we do. We strive to create a diverse, dynamic and inclusive culture of play at the LEGO Group, where everyone feels safe, valued and they belong.

The LEGO Group is highly committed to equal employment opportunity and equal pay and seeks to encourage applicants from all backgrounds (eg. sex, gender identity or expression, race/ethnicity, national origin, sexual orientation, disability, age and religion) to apply for roles in our team.

The LEGO Group is fully committed to Children’s Rights and Child Wellbeing across the globe. Candidates offered positions with high engagement with children are required to take part in Child Safeguarding Background Screening, as a condition of the offer.

Thank you for sharing our global commitment to Children’s Rights.

Just imagine building your dream career.

Then make it real.

Join the LEGO® team today.

Apply online at our LEGO Careers Portal today at: https://www.lego.com/en-sg/careers/job/data-analyst-9-months-contract-8a70e00a589210017a37bcaff6a30000

What we do matters
Azendian Solutions, an AI, Data Science and Operations Technology company, develops solutions for energy and resource optimisation to achieve a smarterand more sustainable Built Environment by reducing carbon footprint, enhancing resource productivity and operations as well as lowering costs. Our AI-driven solution is game changing in its approach, leveraging on Machine Learning, Data Science, Cloud Computing with Operations Technology engineering systems.

What you will do

• Build and maintain data pipelines to process data from building systems and IoT devices
• Work with real-world engineering data (e.g., equipment performance, energy usage)
• Support development of analytics and AI models for:
• Anomaly detection
• Predictive maintenance
• Performance optimization
• Assist in setting up systems and environments for Databases (SQL), basic server setup (Windows/Linux) and running applications using Docker or microservices
• Use modern tools (including AI-assisted tools) to improve productivity and workflows
• Collaborate with engineering and product teams to deliver real-world solutions

Core Responsibilities

·      Data Engineering & Pipeline Development

·      Data Integration (BMS / IoT Systems)

·      Analytics & AI Enablement

·      Data Quality & Performance Optimization

·      Collaboration & Delivery

Job Requirements

·           Bachelor’s Degree or equivalent in Electrical/Electronic Engineering or Computing Engineering, Information Technology or related field.

·           Minimum 1 year of relevant experience in data engineering, software engineering, or engineering systems.

·           Strong foundation in Python and SQL (MSSQLand/or PostgreSQL).

·           Familiarity with data processing, ETL pipelines, or data management concepts.

·           Experience or interest in working with real-world data (e.g., IoT, engineering systems, or operational data).

·           Knowledge in BMS communication protocols (BACnet and Modbus) is preferred but not required.

·           Basic familiarity with system setup (e.g databases, Windows/Linux environment, or Docker) is an advantage.

·           Experience with workflow orchestration tools (e.g., Airflow, Prefect) is a plus.

·           Exposure to data analytics or machine learning concepts is a plus.

·           Familiarity with AI-assisted tools or automation tools is an advantage.

·           Strong logical and analytical skills.

·           Willingness to learn and work across data systems, and AI domains.

·           Able to work comfortably and independently in a fast-paced environment.

Job Description

• Industry/ Organization Type: Cleaning/ Maintenance Services
• Position Title: Data Centre Cleaning & Maintenance Technician
• Working Location: Islandwide
• Working Hours: 6 days (Mon-Sat, 9am – 6pm)
• Salary Package: Basic + OT + Performance Bonus + Extra 2 days Leave/ month
• Duration: Permanent

Key Responsibilities

• Carry out cleaning tasks at assigned sites (e.g. vacuuming, mopping, disinfecting, etc.)
• Support installation works as instructed.
• Inform supervisors when supplies are low, equipment is damaged, or facility issues need repair.
• Assist with deliveries.
• Perform general housekeeping in the warehouse and storage areas.
• Follow safety and cleanliness requirements.
• Use cleaning and maintenance equipment safely and properly.
• Perform any other duties assigned by the Manager or Management.

APPLY NOW!!!

• Comfortable using cleaning tools and equipment.
• Willing to learn and adapt to different tasks and responsibilities.
• Basic English skills (able to read instructions and communicate).
• Willing to work overtime when needed, including after hours and weekends.
• Able to work well in a team and independently with minimal supervision.
• Good communication skills; responsible and reliable.

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job@anradus.com.sg. Please indicate #82315 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Angel Lim | EA Reg No.: R1769781

Summary

This role involves providing end-to-end content review and quality assurance services. The individual will be responsible for reviewing and annotating a wide range of content (e.g., text, images, videos) based on predefined guidelines. Additional responsibilities include grading assignments, ensuring consistency and fairness, and performing quality checks to maintain high standards. The role may also involve contributing to the development and refinement of guidelines, feedback loops, and continuous improvement initiatives.

Job Description

• Annotate content based on given standards and guidelines
• Grade assignments, projects, or assessments.
• Provide relevant data and prompt responses based on content.
• Provide feedback when discrepancies arise.
• Conduct research on various topics using reliable internet sources. 
• Conduct data collections based on client requirements. 
• Maintain detailed records for tracking and reporting.
• Collaborate to refine grading rubrics and annotation criteria. 
• Provide timely and accurate evaluation. 
• Gather information or data from various sources. 

About Centific 

Centific is a frontier AI data foundry that curates diverse, high-quality data, using our purpose-built technology platforms to empower the Magnificent Seven and our enterprise clients with safe, scalable AI deployment. Our team includes more than 150 PhDs and data scientists, along with more than 4,000 AI practitioners and engineers. We harness the power of an integrated solution ecosystem—comprising industry-leading partnerships and 1.8 million vertical domain experts in more than 230 markets—to create contextual, multilingual, pre-trained datasets; fine-tuned, industry-specific LLMs; and RAG pipelines supported by vector databases. Our zero-distance innovation™ solutions for GenAI can reduce GenAI costs by up to 80% and bring solutions to market 50% faster.

Our mission is to bridge the gap between AI creators and industry leaders by bringing best practices in GenAI to unicorn innovators and enterprise customers. We aim to help these organizations unlock significant business value by deploying GenAI at scale, helping to ensure they stay at the forefront of technological advancement and maintain a competitive edge in their respective markets.

Your Authentic Self at Centific 

Centific is an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, citizenship status, age, mental or physical disability, medical condition, gender (including pregnancy), gender identity or expression, sexual orientation, marital status, familial status, veteran status, or any other characteristic protected by applicable law. We consider qualified applicants regardless of criminal histories, consistent with legal requirements.

JOB SUMMARY

Corporate and Investment Banking (CIB) at Standard Chartered Bank has embarked on an ambitious journey to incorporate the latest AI and data science capabilities in all aspects of our business. This includes our Financial Markets and Transaction Banking businesses. To that end, we are seeking a senior data scientist with strong background and experience in developing and deploying sound AI solutions using both the classical machine learning techniques as well as the latest Large Language Models.

RESPONSIBILITIES

• Liaise with product owners and business stakeholder, identify pain points and business use-cases and gather requirements

• Understand business use-cases and develop AI/ML solutions for various business use-cases in collaboration with product owners and the wider team

• Productionize the developed solutions in collaboration with MLOps Engineer and the wider Tech and Data team

• Stay up-to-date with recent developments in Data Science and NLP domains: algorithms, best practices etc. and disseminate them across the team

• Mentor and upskill more junior team members

Strategy

Support the development of data and AI solutions in cooperation with business stakeholders, IT teams and other relevant parties and to assure that solutions are aligned to the business strategy, released on time, on budget and with high quality.

Governance

• Ensure data quality (DQMF) is applied for data analytics and AI projects

• Adherence to Risk & Data Quality Management Requirements

• Risk and Audit Continuous management of the Trade Application System risk

• Proactively identify issues and actions

• Monitor and remediate issues and actions from audits

• Awareness of the regulatory requirements and ensuring these are catered for in the platform design

Regulatory & Business Conduct

• Display exemplary conduct and live by the Group’s Values and Code of Conduct.

• Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct.

• Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters.

Key Stakeholders

• Technology and Engineering teams across the bank

• Corporate and Investment Banking (CIB) business teams

• Digital Channels and Client Data Analytics (DCDA)

• Financial Crime Surveillance Operations (FSCO) / Compliance teams

Our Ideal Candidate

• Degree in Computer Science, Software Engineering, IT, or related fields

• 2+ years of experience in machine learning, data science and/or other relevant quantitative roles – Banking/finance experience would be preferred but not mandatory

• Proficient in Object-Oriented Programming (OOP) in Python

• Knowledge of machine learning, deep learning and statistical analysis techniques

• Experience in NLP/DocumentAI, Entity Matching, Anomaly and Fraud detection would be an advantage

• Proficient in using ML, DL, and NLP libraries such as Scikit-learn, HuggingFace, LangChain and PyTorch

• Experience in working in an agile environment

• Excellent communication skills with the ability to convey complex technical concepts to non-technical stakeholders

• Self-driven and highly motivated professional with a strong sense of ownership and a passion towards delivering high-quality client solutions

Role Specific Technical Competencies

• Data Science

• Python

• NLP

• Deep Learning

• Stakeholder Management

About Standard Chartered

We're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us.

Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion.

Together we:

• Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do

• Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well

• Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term

What we offer

In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing.

• Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations.

• Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum.

• Flexible working options based around home and office locations, with flexible working patterns.

• Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits

• A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning.

• Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential.

Recruitment Assessments

Some of our roles use assessments to help us understand how suitable you are for the role you've applied to. If you are invited to take an assessment, this is great news. It means your application has progressed to an important stage of our recruitment process.

Visit our careers website www.sc.com/careers