Total 10,181 job vacancies in Singapore

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Bayesian-Inference-&-Genomic-Epidemiology%29/32501-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

About the Role
The Centre for Epidemic Response & Modelling (CERM) at NUS Saw Swee Hock School of Public
Health seeks a Research Fellow with deep expertise in Bayesian statistical modelling and genomic
epidemiology to contribute to methodological and applied research across several funded
programmes. Core themes include the integration of genomic, serological, and epidemiological
data into unified Bayesian frameworks; real-time inference of transmission dynamics and variant
fitness; and the development of semi-mechanistic models for arbovirus lineage surveillance across
South and South-East Asia.

The postholder will work with Asst. Prof. Swapnil Mishra (Deputy Director, CERM and AI for Public
Health Programme) and engage an active network of collaborators spanning CERM, NUS, Imperial
College London, Ashoka University, the Communicable Diseases Agency Singapore (CDA), the
National Environment Agency Singapore (NEA), the Machine Learning & Global Health Network
(MLGH), and wider regional and global partners.

Key Responsibilities
• Develop and extend Bayesian semi-mechanistic renewal equation models for estimating
genotype-specific reproduction numbers and immune escape.
• Build scalable inference pipelines integrating genomic (phylogenetic/lineage) data with
epidemiological surveillance streams.
• Apply and extend deep generative modelling approaches (e.g. normalising flows,
variational inference) to handle large-scale pathogen genomic datasets.
• Contribute to real-time dashboards and toolkits for arbovirus genomic surveillance (DENV,
ZIKV) across the region.
• Publish findings in high-quality peer-reviewed journals; present at international
conferences.
• Co-supervise Research Associates and Research Assistants; contribute to grant writing
and reporting.

Additional Opportunities
The group actively supports career development through conference travel, training workshops, and mentorship from senior researchers and international collaborators.

Qualifications

• PhD in statistics, biostatistics, computational epidemiology, bioinformatics, or related field.
• Strong hands-on experience with probabilistic programming (Stan, PyMC, NumPyro,
Turing, or equivalent).
• Proficiency in Python and/or R; experience with JAX or similar autodiff frameworks is
advantageous.
• Familiarity with at least one of i) phylodynamic methods (BEAST, IQTREE, or equivalent),
ii) lineage classification frameworks, and iii) renewal equation or compartmental
transmission models.
• Track record of peer-reviewed publications.
• Strong quantitative and coding skills; ability to work in collaborative, multi-institutional research settings.

Interested applicants should submit the following documents:
• A cover letter explaining your interest in the position, relevant experience, and research vision.
• A comprehensive curriculum vitae, including a full list of publications.
• A research statement (maximum two pages) outlining past contributions and future directions.
• Contact information for two professional references (letters may be requested).

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Maritime-Safety-and-Data-Analytics-%29/32512-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The project will be engaging a Research Fellow to undertake advanced research on AIS-driven multi-vessel interaction analysis, with a particular focus on estimating navigational capacity in restricted and congested waterways (e.g., port approaches, straits, and narrow channels). Leveraging large-scale Automatic Identification System (AIS) datasets, the study will systematically extract vessel trajectories, characterize interaction patterns among heterogeneous vessel types, and identify critical factors influencing traffic flow efficiency and safety. It will further integrate multi-source data, including high-resolution meteorological and oceanographic information (e.g., wind, waves, currents, and visibility), to capture the impact of environmental conditions on vessel behavior and waterway capacity. Advanced data processing pipelines will be developed to handle massive, noisy, and heterogeneous datasets, ensuring data quality, scalability, and computational efficiency.

The selected RF will be required to collaborate closely with project team members on a range of activities:
(1) Large AIS data process
(2) AIS data based maritime safety assessment 
(3) Capacity estimation for the restricted waters
(4) Preparation of technical reports and slides
(5) Engagement with stakeholders through meetings and discussions.

Job Requirements

• Possess a PhD in Maritime Safety, Computer Engineering/Science, Data Science related subjects (incl. PhD to be received in 6 months after starting work).
• Experience in developing AIS data-driven models.
• Ability to sophisticatedly use at least one programming language, e.g., Python, R Java, SQL, Julia, C# and C++.
• Excellent interpersonal and communication skills.
• Values teamwork and display great leadership. Able to self-manage and self- motivated, with minimum supervision. 
• Open to fixed-term contract.
      
Prioritized Requirements:
• AIS Data mining and analysis, machine learning skills.
• Research experience on maritime risk assessment and big AIS data processing.
• Good publication record in international leading journals.

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Traffic-safety-and-data-analytics%29/32494-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

A few Research Fellows (RFs) will be engaged in a research project to develop a robust, data-driven, and AI-powered framework for evaluating the impact of vehicle speed management policies, with a particular focus on age-related vulnerability. The proposed approach will explicitly account for the age profiles of road users, multiple vehicle types (e.g., passenger cars, trucks, and buses), as well as roadway and environmental conditions.The project aims not only to deepen the understanding of how age and vehicle speed jointly influence crash frequency and injury severity, but also to deliver practical tools to support the design of inclusive and adaptive speed management policies for an ageing population. In addition to utilizing road crash data, the project will also collect and incorporate driving simulator data to support model development and validation.

The selected RF will be required to collaborate closely with project team members on a range of activities:

•    Traffic safety related data collection such as large-scale driving simulator experiments
•    AI-based traffic safety modelling and analysis, 
•    preparation of technical reports and slides, 
•    engagement with stakeholders through meetings and discussions.

Job Requirements

•    Possess a PhD in Traffic Safety, Computer Engineering/Science, Data Science related subjects (incl. PhD to be received in 6 months after starting work).
•    Experience in developing driving simulator-based models.
•    Ability to sophisticatedly use at least one programming language, e.g., Python, R Java, SQL, Julia, C# and C++.
•    Excellent interpersonal and communication skills.
•    Good teamwork and leadership, self-manage and motivated, with minimum supervision. 
•    Open to fixed-term contract.
    
Prioritized Requirements:

• driving simulator-based model development, machine learning skills.
• Research experience on traffic safety and driving simulator usage.
• Good publication record in international leading journals.

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Traffic-safety-and-data-analytics%29/32493-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

A few Research Fellows (RFs) will be engaged in a research project to develop a robust, data-driven, and AI-powered framework for evaluating the impact of vehicle speed management policies, with a particular focus on age-related vulnerability. The proposed approach will explicitly account for the age profiles of road users, multiple vehicle types (e.g., passenger cars, trucks, and buses), as well as roadway and environmental conditions.The project aims not only to deepen the understanding of how age and vehicle speed jointly influence crash frequency and injury severity, but also to deliver practical tools to support the design of inclusive and adaptive speed management policies for an ageing population. In addition to utilizing road crash data, the project will also collect and incorporate driving simulator data to support model development and validation.

The selected RF will be required to collaborate closely with project team members on a range of activities:

•    Traffic safety related data collection such as large-scale driving simulator experiments
•    AI-based traffic safety modelling and analysis, 
•    preparation of technical reports and slides, 
•    engagement with stakeholders through meetings and discussions.

Job Requirements

•    Possess a PhD in Traffic Safety, Computer Engineering/Science, Data Science related subjects (incl. PhD to be received in 6 months after starting work).
•    Experience in developing driving simulator-based models.
•    Ability to sophisticatedly use at least one programming language, e.g., Python, R Java, SQL, Julia, C# and C++.
•    Excellent interpersonal and communication skills.
•    Good teamwork and leadership, self-manage and motivated, with minimum supervision. 
•    Open to fixed-term contract.
      
Prioritized Requirements:

• driving simulator-based model development, machine learning skills.
• Research experience on traffic safety and driving simulator usage.
• Good publication record in international leading journals.

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together - building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities - all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

• This position is for School of Computing and Information Systems (SCIS).
• Design and implement AI for software engineering solutions.
• Conduct evaluations and/or user studies to validate the effectiveness of the algorithms and tools.
• Write and publish research papers and present them to reputable academic conferences.
• Package the documents, implementation code, evaluation results of the project for public release.
• Liaise with other team members of this project to realize the overall goal of the project.
• Other duties as assigned.

• Bachelor degree in Computer Science, Information Technology, or related discipline (e.g., Computer Engineering, Physics).
• 3+ years of industry experience in CI/CD automation, big data pipeline, and/or applied AI/ML
• Prior experience in vulnerability reporting and fixing, demonstrated by concrete accepted pull requests.
• Highly fluent in Python and SQL; competent in at least one additional language (e.g., C++).
• Demonstrated experience building and optimizing end-to-end data/ML pipelines.
• Hands-on experience with cloud platforms and big data tools.
• Competent in designing and implementing algorithms and data structures.
• Practical experience applying ML/AI techniques in production environments.
• Excellent knowledge about software engineering and artificial intelligence.
• Competent in designing and implementing algorithms and data structures.
• Excellent oral and written communication skills.
• Excellent analytical, technical and problem-solving skills.
• Self-motivated individual who can work independently and also collaboratively with team members.
• Able to work under strict deadlines.

#LI-JN2

Role Overview
The Financial Controller is responsible for overseeing end‑to‑end financial operations, statutory compliance, internal controls and financial reporting. The role operates within a complex, matrixed multinational environment and partners closely with regional and global stakeholders to support growth, profitability and operational excellence across customer‑facing, manufacturing & R&D activities.

The successful candidate will combine strong technical accounting expertise with commercial acumen, systems proficiency, and hands‑on leadership, enabling high‑quality execution in a fast‑paced, capital‑intensive and compliance‑driven industry.

Key Responsibilities
Financial Reporting, Controls & Compliance

• Lead monthly, quarterly, and annual financial close processes, ensuring accuracy, timeliness and integrity of results
• Prepare and review financial statements in accordance with US-GAAP & IFRS corporate accounting policies
• Ensure compliance with statutory, tax and GST requirements for the legal entities
• Own SOX/ internal controls across finance and operational processes, including audit walkthroughs, documentation, testing support and remediation
• Serve as the local accountable executive to external auditors for statutory audits and maintaining strong audit outcomes

Accounting Operations for Manufacturing & Tech Environments

• Oversee accounting for complex transactions including:
  Revenue recognition for equipment, spares, services and long‑term arrangements
  Intercompany transactions, transfer pricing and cross‑border activities
• Ensure balance sheet integrity across high‑value assets, accruals and provisions
• Support entity lifecycle activities including entity setup, liquidation and restructuring as required

Financial Planning, Forecasting &Business Partnering

• Partner closely with Operations, Sales to:
  Drive accurate forecasting of revenue, cost of goods sold and operating expenses
  Support profitability, margin improvement and cost optimization initiatives
• Lead budgeting and forecasting cycles in dynamic, fast‑moving business environments
• Deliver timely, actionable financial analytics to senior and regional leadership

Systems, Process & Automation

• Drive continuous improvement initiatives across finance, including:
  Digital transformation
  Automation of reporting, reconciliation and analytics
  Reduction of manual processes and control risks
• Serve as finance lead for ERP and reporting systems (e.g. SAP, ECC, Adaptive, Power BI)
• Partner with global teams on finance transformation, data governance and system enhancements

Leadership & Stakeholder Management

• Lead, mentor and develop a high‑performing finance team in the region
• Foster a culture of accountability, quality and continuous improvement
• Collaborate effectively with regional and global finance & operations teams across the region
• Serve as a trusted finance partner to senior management in a matrixed multinational organization

Qualifications & Experience
- Bachelor’s degree in accounting, Finance, or related discipline
- Professional accounting qualification (ISCA, ACCA, CPA, CA, or equivalent)
- 15–20+ years of progressive finance and accounting experience within semiconductor, manufacturing, or technology MNCs
- Deep expertise in:
Financial reporting and statutory compliance
SOX/ internal controls
Consolidation and regional accounting
Manufacturing or technology business models
- Strong experience operating in complex, matrix organizations with global stakeholders
- Advanced proficiency in ERP systems (SAP preferred) and financial reporting/ BI tools

Key Competencies
- Strong technical accounting and compliance expertise
- Solid understanding of manufacturing, supply chain, and technology business drivers. Commercial mindset with strong business partnering skills
- Proven leadership and people development capability
- High attention to detail, resilience and ability to operate in fast‑paced environments
- Track record of driving process optimization and automation in global settings

The National Institute of Education invites suitable applications for the position of Research Assistant on a 12-month contract at the Office for Research.

Project Title: DRivers, Enablers and pathways of Adolescent developMent in Singapore (DREAMS): The Singapore Longitudinal Cohort Study (SG-LCS) Phase 1B

Project Introduction: This study seeks primarily to understand (a) the nature of educational pathways made by students through secondary education, (b) the drivers of the decisions made about educational pathways through secondary education (especially self-identity and agency, school and career aspirations, and social and relational contexts), (c) the stability and change patterns of educational pathways as well as factors that may be associated with change. We expect the drivers of educational pathways to be interrelated, and (d) through retrospective investigation, the factors at early childhood and primary school that contribute to educational pathways. Furthermore, this study will allow focus on educational pathways of specific subgroups to understand the differential impact of educational pathways for (e) students with special educational needs (SEN) and (f) for students from financially disadvantaged environments. 

Requirements:

• Bachelor’s degree in the relevant fields (Social science/Psychology/Education) 

• Proficient knowledge in qualitative analysis 

• Relevant skills in academic research (e.g., conducting literature review, interviews) 

• Experience conducting focus group discussions is advantageous

• Prior experience in research either at the undergraduate or postgraduate levels 

• Technologically competent: able to exploit hardware and software for qualitative data analysis 

• Good communication and interpersonal skills 

• Ability to relate to teenagers 

• Ability to work independently

Responsibilities:

• Conduct literature review in the relevant fields 

• Obtain consent from research participants 

• Manage logistics, data, and systems associated with data collection

• Conduct field work at MOE sites 

• Administer student/teacher/parent survey forms 

• Conduct interviews with selected research participants 

• Analyse all qualitative data 

• Code, organise, analyse, and present the respective data 

• Assist with reports on the study findings 

• Other duties as assigned by the Principal Investigator

Application

Applicants (external and internal) will apply via Workday. We regret that only shortlisted candidates will be notified.

Workday Job Requisition ID: R00024133 & R00024134
(https://ntu.wd3.myworkdayjobs.com/Careers/job/NTU-Main-Campus-Singapore/Research-Assistant--Office-for-Research---NIE-_R00024133)
(https://ntu.wd3.myworkdayjobs.com/Careers/job/NTU-Main-Campus-Singapore/Research-Assistant--Office-for-Research---NIE-_R00024134)

Closing Date

Closing date for advertisements will be set to 14 calendar days from date of posting.

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Assistant-%28ROBUST-SPLATTING%29/32473-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

A Research Assistant position is open in the research group of A/P Wang Xinchao, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).  The Research Assistant will work closely with the Principal Investigator (PI) on one or more research projects.  The candidate will join the research team in the areas of Efficient and Robust Splatting.

The successful candidate is required to:

•    Contribute to 3Dreconstruction, Generation and Beyond.
•    Contribute to Dialogue, Speech Signal Processing and Machine Learning algorithms.
•    Contribute to the implementation of Automatic Speech Recognition framework and development of systems.
•    To advance the knowledge, to publish in leading journals and conferences.
•    To prepare and meet the project deliveries and milestones.  

Qualifications

•    A recognized Bachelor’s or Master’s degree in Computer Science, Electrical/Computer Engineering, Data Science, Artificial Intelligence, or a related quantitative field
•    Strong programming skills in one of the programming languages: C / C++, Matlab, Python
•    Have prior project related experience
•    Good team player and be able to work independently. 
•    Strong organizational, writing and interpersonal communications. 
•    Meticulous, able to work well under pressure and commitment to meet tight deadlines
•    Open to fixed-term contract. 

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Assistant-%28Biological-Sciences%29/32478-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for an enthusiastic and meticulous individual to support CNCS in continuing education and research administration.

Responsibilities

Research Administration Support

• Track and report budgets, commitments, expenditures and payments accurately
• Assist in submitting project claims and progress reports to grantor
• Support procurement activities by sourcing, purchasing and payments, in compliance with university policies and procedures
• Checking of Concur claims to ensure they are fundable items 
• Perform other duties as assigned

Executive Education

• Prepare the paperwork for Contract for Services, Other Paid Work in NUS (OPWN), NUS Student Work Scheme
• Track registration on NUS Lifelong Learning Application Portal (L3AP) and send reminders to participants to complete their registration
• Vendor record creation, withholding tax processing for overseas speakers
• Source for quotations on airfares and hotel rates for course budget preparation
• Booking of air tickets and hotel accommodation for overseas speakers
• Submit Request for Payment forms and OPWN payment forms for speakers
• Create Purchase Orders for catering, hotel booking and purchases 
• Submit Invoice Request forms to seek payment
• Submit non-Purchase Order invoices for payment processing
• Track expenditure and payments for all courses, prepare profit and loss report
• Transfer payments to course collaborators
• Oversee the classroom and catering logistics during courses, liaise with caterers on set up, booking of course venue and payments for venues
• Liaise with Office of Legal Affairs (OLA) on contracts

Qualifications

Bachelor’s degree in any discipline

Experience

• Familiarity with the NUS Concur, Ariba Smartbuy, ASK and L3AP system is a plus

Skills

• Proficient in Microsoft Office applications. 
• Strong organization and time management skills, with the ability to work within tight deadlines
• Meticulous with an excellent attention to detail
• Resourceful in getting things done and with a willingness to learn
• Service-oriented, work well with others 
• Possesses a pleasant and outgoing disposition with good written and verbal communication skills to engage with internal

Application Procedure
Please also state when you expect to be able to begin work, if this position is offered to you.

Questions about the position may be directed to yunping@nus.edu.sg
Only shortlisted candidates will be contacted for an interview.
Deadline to submit applications by Friday, 8 May 2026, given the urgency of hiring needs.

Key Responsibilities:

• Develop and conduct high quality research independently, as a candidate is expected to have relevant experience in one or more of these areas (e.g. mice/rodent handling, optogenetics and behaviours, animal surgery and dissection, calcium imaging, gnotobiotic studies and microbiome analysis, etc).

• Lead, assist or learn in a dynamic range of projects and lab duties, including but not limited to molecular biology and histology procedures, microscopy, rodent behavioural assays, neuroscience optogenetic and chemogenetic techniques, functional recording and calcium imaging, mice surgery, data analysis and presentation, lab maintenance and office, academic and administrative tasks

• Mentor and collaborate with group members and other research teams

• Demonstrate him/herself exceptionally self-motivated, a team player

• Any other responsibilities as advised by the PI based on the evolving needs in the lab

Key Competencies and Educational Requirements:

• Hold a Diploma or Bachelor degree in Biology or relevant disciplines

• Have a keen interest in the lab’s research theme on the microbiome gut brain neuroscience

• Be proficient in relevant techniques described above

• Be highly motivated and conscientious

• Demonstrate her/his competencies and qualifications satisfactorily

• Work independently, and also have the ability to work effectively in a team

• Have good organisational, verbal and interpersonal skills

We are looking for an energetic and friendly Field Marketing Assistant to support our marketing activities, events, and roadshows across various locations.

You will help promote products and services, engage with the public, and support the team during on-the-ground campaigns and events.

Job Description

• Industry/ Organization Type: Manufacturing (Machinery & Equipment)
• Position Title: Assistant Engineer (Environment Testing & Drafting)
• Working Location: Kent Ridge
• Working Hours: 5 days (Mon – Thu, 830am – 600pm; Fri, 830am – 530pm)
• Salary Package: Basic salary up to $3,500 + AWS
• Duration: Permanent Role

Key Responsibilities

• Conduct lab tests using equipment like electrodynamic shakers and temperature/humidity chambers according to test procedures.
• Guide test operators in using equipment to meet test requirements.
• Make approximately 10 trips to different laboratories every quarter
• Coordinate with equipment designers to schedule functional checks on the products being tested.
• Perform visual inspections of products before and after testing, following a checklist.
• Notify customers of any test anomalies and discuss necessary follow-up actions.
• Record and provide test and inspection results.
• Undertake mechanical drafting and design tasks.

APPLY NOW!!!

• Higher NITEC or Diploma in Mechanical Engineering.
• Experience with ESS/PDU/GD&T is beneficial but not required.
• Ability to work independently with minimal supervision.

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 #72103 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 | Rachael Lee | EA Reg No.: R2093131

About Royal Org

Royal Org is a fast-growing outsourced sales and marketing company specializing in brand and marketing.

We partner with clients across industries, including lifestyle, energy, NGOs and FMCG, to boost brand awareness and drive measurable results!

Why Join Us

• Clear and fast career progression

• ⁠Supportive, dynamic, and ambitious team culture

• ⁠Comprehensive training and 1-to-1 mentorship provided

• ⁠Team events and travel opportunities

• ⁠No prior experience needed

What You’ll Do

• Represent major brands through in-person marketing campaigns

• ⁠Engage customers and build strong relationships

• ⁠Collaborate with your team to grow together

• ⁠Learn and implement effective sales and marketing strategies

At Royal Org, we value passion, professionalism, and potential.

If you’re driven to learn, grow, and achieve, apply now to start your career with us!

(Only shortlisted candidates will be contacted.)

Our client, a well-established MNC is seeking for a Customer Service Officer / Assistant ( Face To Face ) - Up To $ 3,300.00 + OT + Incentives + AWS + Attractive Bonuses / MNC/ Central Area, 5 days work week, Office Hour

Requirements

• Min a Diploma in Customer Service Relation/ Hospitality / Tourism or relevant / O or N Level
• At least 1 to 2 years experience providing face to face Customer Service functions.
• Willing to work in a fast pace environment
• Candidates from Retail or F&B industry are welcome to apply
• Comfortable handling cashiering fucntions
• Strong communication and interpersonal skills.
• Confident, willing to learn and perseverance.
• Independent and team player

Others

• Salary: Up to $ 3,300.00 + OT + Incentives + AWS + Attractive Bonuses
• 5 days work week, Office Hour
• Central area

Interested candidate can send in your resume with a photo attached (word format prefer) to grayson.su@thetalentnetwork.com.sg

Our client is a machinery manufacturing MNC.

About the Role:

• Basic: $2,400 – $2,800
• Working Hours: Mon – Fri, 8.30am - 5.45pm
• Duration: 6 Months contract
• Location: West

Responsibilities:

• Perform data entry for purchase order creation, shipping documentation, and vendor invoices; scan and file timesheets in the internal system.
• Provide general administrative support and assist with ad-hoc tasks as assigned.

Requirements:

• Good in IT skills, especially Microsoft Office
• Experience in data entry / admin

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.
We regret that only shortlisted candidate will be notified.

Email Address: jobs@recruitpedia.sg

Recruitpedia Pte. Ltd.
EA License No: 19C9682
EA Personnel No: R25157233 (Loh Pooi Keng)

Our client is an estate management services company.

About the Role:

• Basic: $2,400 + High OT Pay
• Working Hours: Mon – Fri, office hours
• Location: Central
• Duration: 1-year contract (convertible)

Responsibilities:

• Assist in data collection, filing, photocopying, and data entry.
• Maintain organized audit records and reports.
• Support the team in preparing documents and reports.
• Help follow up on audit findings and action plans.

Requirements:

• Entry-level candidates are welcome; training will be provided.
• Comfortable handling large volumes of data.
• Willing and comfortable to support paid overtime during peak periods.

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.
We regret that only shortlisted candidate will be notified.

Email Address: jobs@recruitpedia.sg

Recruitpedia Pte. Ltd.
EA License No: 19C9682
EA Personnel No: R25157233 (Loh Pooi Keng)

Job Description

• Industry/ Organization Type: Manufacturer (Electrical Power Distribution, Control and Automation Systems)
• Position Title: QA Engineer / Assistant QA Engineer
• Working Location: Tuas Crescent (Transportation Provided)
• Working Hours: Monday – Friday, 8.15am – 5.45pm
• Salary Package: Basic + AWS + Variable Bonus
• Duration: Permanent

Key Responsibilities

• Inspect incoming and outgoing parts according to specifications and procedures.
• Accurately record and manage quality data.
• Identify and report quality issues to management for corrective action.
• Segregate non-conforming products to avoid mix-ups before final decisions are made.
• Approve or reject parts based on quality standards.
• Conduct routine tests and checks on switchboards manufactured in-house.
• Test and commission switchboards on-site or on vessels, ensuring customer satisfaction and handling any quality complaints or warranty issues.
• Manage official tests requiring the presence of surveyors, consultants, or customers.
• Assist the QA Manager in achieving quality goals and responsibilities.
• Maintain high standards of cleanliness and organization in the QA Department.
• Strictly follow safety protocols for all activities.
• Ensure inspection tools are calibrated and functional.
• Proactively prevent product non-conformity.
• Recommend, implement, and check the effectiveness of solutions for identified problems.
• Oversee the resolution process for non-conforming products.
• Adhere to Quality Management System procedures to maintain compliance and control.
• Carry out other tasks as directed by supervisors.

APPLY NOW!!!

• Minimum ITE/ Diploma in Electrical Engineering or a related field.
• At least 1 year of experience in quality control or assurance, preferably in electrical or switchboard manufacturing.
• Ability to interpret technical documents and adherence to safety and quality standards.

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 #76200 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 | Rachael Lee | EA Reg No.: R2093131

*Seeking for a Assistant Manager- Loan and Treasury Operations with relevant 5 years of Banking- Loan operations OR Loans AND Treasury operations experience*

THE COMPANY

Rooted in their commitment and service to their clients, the company has a well-received yet stable brand within the Banking sector. They currently seek a Assistant Manager- Loan and Treasury Operations to be part of their Operations team.

JOB RESPONSIBILITIES

1. To be part of the Loan and Treasury Operations
2. Handle Treasury products (FX, Derivatives, Bonds, Money Market)
3. Handle Loans from Corporate bank
4. Handle relevant Operations project
5. Handle IT system (SWIFT)
6. Prepare relevant Operations, MAS reporting
7. Write and improve Operations policies
8. Work closely with other business stakeholders

JOB REQUIREMENTS

1. Degree in Business Studies/Finance/Banking/Economics/Commerce or any other relevant education
2. Minimum 5 years of loan operations experience OR 5 years of relevant loan and treasury operations experience in Banking industry
3. Meticulous, organized, team player and has good interpersonal skills

If you will like to explore this opportunity, please email your resume in Microsoft Word format to marie@resolutehunter.com

We thank you for your interest and will contact shortlisted candidates for more detailed discussion.

For more job openings, please visit our website at https://resolutehunter.com/opportunities/

EA Licence 18C9105

EA Reg R1105305

Our client is a Global MNC in Logistics and Freight Frowarding industry . Due to business needs, they are now recruiting a Regional Pricing Assistant Manager (Ocean Freight)  to be part of their Team for ongoing transformation projects. They are located in the Central - easily accessible.

Responsibilities:

• Analyze ocean freight market trends and price movements across Asia to develop data-driven pricing strategies and strengthen competitive positioning
• Drive growth in targeted trade lanes by identifying opportunities, leading strategic initiatives, and negotiating competitive freight rates and volume agreements with global carriers
• Build and maintain strong relationships with ocean carriers and key stakeholders to secure favorable terms, service levels, and ensure operational alignment
• Lead and manage regional pricing teams across Southeast Asia while facilitating effective cross-functional communication and supporting business priorities through ad-hoc initiatives

Requirements:

• Min Diploma in Logistics, Supply Chain Management, Business, or related field.
• Min 5 years of ocean freight experience within international freight forwarding, 3PL, or ocean container liner industries
• Experience in managing ocean freight products for Intra-Asia and export trades from Asia

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.

We regret that only shortlisted candidate will be notified.

Email Address: jobs@recruitpedia.sg

Recruitpedia Pte. Ltd.

EA License No: 19C9682

EA Personnel No: R24125912 (Soon Puei Sie)