Total 52 market researcher job vacancies in D22 Jurong, Jurong Island, Tuas

Primary Objective(s) of Position

• Identify and assemble profiles for junior, emerging Indonesian mining customers

Duties & Responsibilities

• Manage coverage and marketing activities
• Assist the Mining Manager in providing ongoing world class Account Management.
• Support the Mining Manager’s work in all aspects of daily administration
• Assist to plan, prepare, and update the Mining Manager’s operational schedules
• Prepare reimbursement of travel and local expense claims
• Conduct market research on junior and new miners coming to Indonesia
• Assemble detailed profiles of junior and new miners
• Develop and implement marketing literature regularly
• Contact and discuss project details with customer regularly
• Organize quotes through the Sales Admin department for prefeasibility studies
• Assemble bid documents for proposals
• Advise of Indonesian mining trends weekly
• Advise of world mining trends weekly
• Advise on metal and oil prices weekly
• Advise on any political landscape changes affecting Indonesian or global mining trends
• Work with mining branch Account Executives for feedback on projects on the ground
• Work with Head Office Account Executives for feedback on any new activity through Head Offices in Jakarta.

Person Specifications

• Possess at least a Diploma in Business Administration or Marketing
• A pass in GCE ‘O’ Level English and Mathematics
• Has at least 3 years of experience in supporting Senior Management roles
• Proficient in Microsoft Office Applications
• Possess good telephone etiquette and public relations skills
• Possess excellent communication and interpersonal skills with senior management
• Has an excellent command of English, Mandarin and Bahasa Indonesia
• Able to correspond independently in writing with external and internal parties
• Highly organized, self-motivated and committed

Leading AI quant fund are looking to hire a machine learning quant researcher onto their systematic team.

Role:

• Conduct quantitative research with PM and other AI quants to develop and back-test different machine learning and statistical models, as well as productionize such models.
• Combine sound financial insights and machine learning techniques to explore, analyze, and harness a large variety of datasets.
• Use a rigorous scientific method to develop sophisticated trading models and shape our insights into how the markets will behave.
• Apply machine learning to a vast array of datasets
• Focuses on Time-Series Transformers Based such as TFT
• Focuses on Pytorch Forecasting, GlutonTS, NeuralForecast Stacks
• Understanding the difference between autoregressive versus latent properties

Requirements:

• Masters/PhD degree in Mathematics, Physics, Financial Engineering, Computer Science, Statistics with specialization in Machine Learning
• Experience working with large datasets and machine learning techniques
• Experience in one or more of deep learning, reinforcement learning, non-convex optimization, Bayesian non-parametrics, NLP or approximate inference.
• Publications at top conferences such as NeurIPS, ICML, ICLR etc. is highly desirable.
• Experience in a high-performance language (ideally C++, or similar languages)
• Outstanding performance in any quantitative field or contest (Kaggle, hackathons, Olympiads, academic contests etc.).
• Experience implementing machine learning algorithms in industry.
• Open to ML quants who are already working within finance or ML quants within tech who are interested to move to finance.
• Trading Background is not a pre-requisite for the above role.

Leading AI quant fund are looking to hire a machine learning quant researcher onto their systematic team.

Role:

• Conduct quantitative research with PM and other AI quants to develop and back-test different machine learning and statistical models, as well as productionize such models.
• Combine sound financial insights and machine learning techniques to explore, analyze, and harness a large variety of datasets.
• Use a rigorous scientific method to develop sophisticated trading models and shape our insights into how the markets will behave.
• Apply machine learning to a vast array of datasets
• Focuses on NLP related synthesis with time-series considerations such as exponential decays of sentiment signals
• Focuses on triangulating various sentiment strengths from a top-down hierarchical modelling to latent graphical inferences

Requirements:

• Masters/PhD degree in Mathematics, Physics, Financial Engineering, Computer Science, Statistics with specialization in Machine Learning
• Experience working with large datasets and machine learning techniques
• Experience in one or more of deep learning, reinforcement learning, non-convex optimization, Bayesian non-parametrics, NLP or approximate inference.
• Publications at top conferences such as NeurIPS, ICML, ICLR etc. is highly desirable.
• Experience in a high-performance language (ideally C++, or similar languages)
• Outstanding performance in any quantitative field or contest (Kaggle, hackathons, Olympiads, academic contests etc.).
• Experience implementing machine learning algorithms in industry.
• Open to ML quants who are already working within finance or ML quants within tech who are interested to move to finance.
• Trading Background is not a pre-requisite for the above role.

Leading AI quant fund are looking to hire a machine learning quant researcher onto their systematic team.

Role:

• Conduct quantitative research with PM and other AI quants to develop and back-test different machine learning and statistical models, as well as productionize such models.
• Combine sound financial insights and machine learning techniques to explore, analyze, and harness a large variety of datasets.
• Use a rigorous scientific method to develop sophisticated trading models and shape our insights into how the markets will behave.
• Apply machine learning to a vast array of datasets
• Focuses on Regression and Classification
• Focuses on Ensembles
• Understanding confidence interval, probability inference and causal inferences

Requirements:

• Masters/PhD degree in Mathematics, Physics, Financial Engineering, Computer Science, Statistics with specialization in Machine Learning
• Experience working with large datasets and machine learning techniques
• Experience in one or more of deep learning, reinforcement learning, non-convex optimization, Bayesian non-parametrics, NLP or approximate inference.
• Publications at top conferences such as NeurIPS, ICML, ICLR etc. is highly desirable.
• Experience in a high-performance language (ideally C++, or similar languages)
• Outstanding performance in any quantitative field or contest (Kaggle, hackathons, Olympiads, academic contests etc.).
• Experience implementing machine learning algorithms in industry.
• Open to ML quants who are already working within finance or ML quants within tech who are interested to move to finance.
• Trading Background is not a pre-requisite for the above role.

Leading AI quant fund are looking to hire a machine learning quant researcher onto their systematic team.

Role:

• Conduct quantitative research with PM and other AI quants to develop and back-test different machine learning and statistical models, as well as productionize such models.
• Combine sound financial insights and machine learning techniques to explore, analyze, and harness a large variety of datasets.
• Use a rigorous scientific method to develop sophisticated trading models and shape our insights into how the markets will behave.
• Apply machine learning to a vast array of datasets
• Experience with options trading such as Iron Condor, Iron Butterfly, Straddle, Strangle, Collar etc.
• Understanding the mathematical derivation of Black-Sholes Pricing Model, Time Decay, Implied Volatility

Requirements:

• Masters/PhD degree in Mathematics, Physics, Financial Engineering, Computer Science, Statistics with specialization in Machine Learning
• Experience working with large datasets and machine learning techniques
• Experience in one or more of deep learning, reinforcement learning, non-convex optimization, Bayesian non-parametrics, NLP or approximate inference.
• Publications at top conferences such as NeurIPS, ICML, ICLR etc. is highly desirable.
• Experience in a high-performance language (ideally C++, or similar languages)
• Outstanding performance in any quantitative field or contest (Kaggle, hackathons, Olympiads, academic contests etc.).
• Experience implementing machine learning algorithms in industry.
• Open to ML quants who are already working within finance or ML quants within tech who are interested to move to finance.
• Trading Background is not a pre-requisite for the above role.

Project Description:A leading bank of Singapore is Implementing PFE module in Murex and looking for various consultants as part of the project implementation team.

Responsibilities:

• Prime role is to act as a Risk Consultant for upgrade project across IT and the business
• Work with different IT teams across infrastructure, and other divisions to deliver system solutions for the business.
• Build a strong relationship and manage expectations with users and stake holders.
• Candidate is expected to be fully hands-on when managing his assigned tasks and while acquiring the necessary skills as expected of his role and responsibilities. An independent worker who can multi-tasks is a must have quality
• It would involve Build, Test & Recon of Market Risk views, Stress Test Reports

Mandatory Skills Description:

• 5 years experience in Market Risk is required for one of the major financial software (Murex) in a Banking environment
• Good knowledge on VaR, Stress testing
• Good knowledge and hands on experience on MRE , ERM & Market data configuration , Debugging and development
• Good hands on experience on relevant technical skills ( SQL , Shell Scripting , Python and Ant Scripts)
• Hands-on business analysis role to analysis, process changes and functional requirements.
• Good technical background
• Team player with good communication & inter-personal skills.
• Candidate must have strong verbal and written communication skills in English

Nice-to-Have Skills:MLC & Collateral knowledge

Leading AI quant fund are looking to hire a machine learning quant researcher onto their systematic team.

Role:

• Conduct quantitative research with PM and other AI quants to develop and back-test different machine learning and statistical models, as well as productionize such models.
• Combine sound financial insights and machine learning techniques to explore, analyze, and harness a large variety of datasets.
• Use a rigorous scientific method to develop sophisticated trading models and shape our insights into how the markets will behave.
• Apply machine learning to a vast array of datasets
• Focuses on Anomaly Detections, Clustering, Dimensionality Reductions and other domains of machine learning that involves using distance-based metrics.
• Would also include things like Markov Chains, Bayesian, Market Basket Mining etc.

Requirements:

• Masters/PhD degree in Mathematics, Physics, Financial Engineering, Computer Science, Statistics with specialization in Machine Learning
• Experience working with large datasets and machine learning techniques
• Experience in one or more of deep learning, reinforcement learning, non-convex optimization, Bayesian non-parametrics, NLP or approximate inference.
• Publications at top conferences such as NeurIPS, ICML, ICLR etc. is highly desirable.
• Experience in a high-performance language (ideally C++, or similar languages)
• Outstanding performance in any quantitative field or contest (Kaggle, hackathons, Olympiads, academic contests etc.).
• Experience implementing machine learning algorithms in industry.
• Open to ML quants who are already working within finance or ML quants within tech who are interested to move to finance.
• Trading Background is not a pre-requisite for the above role.

At HP, we believe in the power of ideas. And we believe that ideas thrive best in a culture of teamwork. That is why everyone, in every function, is encouraged to develop, express and share their creativity to deliver better outcomes for our customers.

The hallmark of the HP Corporate Affairs and Communications team is passion, commitment, curiosity, flexibility and global perspective. We are a growth team on a mission to transform the way HP communicates and the way stakeholders interact with our brand.

As a Products & Services Markets Communications Manager, you will work as part of the wider Products & Services (P&S) Communications team to develop and amplify the HP Products and Services narratives and product innovations to consumers, businesses, partners and stakeholders across the globe. Reporting into the Head of Products and Services Market Communications, this role will be integral in driving priorities and activities supporting HP’s Products and Services portfolio into the markets globally. The Communications Manager will do this through strategic planning, campaign and thought leadership development, and execution excellence for core activities such as product launches and product reviews.

The Communications Manager must be an excellent writer, compelling storyteller and possess a strong understanding of building integrated campaigns across the PESO mix. They must be able to identify opportunities for joined-up storytelling and creative communication strategies that will work across geographies, creating plans and content in collaboration with the Worldwide Products and Services Communications teams and respective business units, and with the Market Communication leaders.

With an eye for detail, they are able to execute against deadlines in a fast paced and dynamic environment. They will be biased toward action, inspire teammates to perform at a high level, be adept at driving consistency and looking for ways to improve communications processes and operational excellence. They will consistently turn strategy into execution to achieve strong results.

What a Products & Services Market Communications Manager does at HP:

• Collaborate across teams to drive integrated communications programs with wider Corporate Affairs, Marketing, Business Units and support functions.
• Build and maintain relationships with other members of the P&S Comms team to inform P&S and pan-HP communications strategy and content.
• Evaluate, prioritize and drive key P&S strategies, programs and activities for the local markets
• Develop high-impact, creative and scalable strategic communications programs, content and campaigns in support of business objectives across earned, owned and social platforms.
• Develop and drive product/experience launches, earned product reviews program, and thought leadership narrative into the local markets.
• Own and drive development and adoption of innovative communications principles, ideas across the P&S Market Campaigns and wider country comms teams.
• Contribute to driving operational excellence for P&S team; and play a key role in developing reporting mechanisms to demonstrate ROI, linking work to business and communication objectives
• Management of external agency hub in Singapore
• Campaign budget management

Individuals who do well in this role at HP, usually possess:

• BA or BS in Communications, Marketing or Business Administration.
• 10+ years of work experience in communications, journalism, or marketing.
• Proven experience crafting content for social, digital and traditional media, thought leadership content and building content strategy, messaging
• Understands the evolving media landscape and newsworthy storytelling
• Superior storytelling, writing and editing skills; strong oral communications skills and ability to convey complex ideas
• Superior organization and program management skills within fast-paced and demanding environment
• A relentless focus on the details
• Ability to link communications plans and activities to business objectives and results
• Sound judgement, with the ability to balance short- and long-term priorities in a disciplined manner
• Strategic thinker with a strong grasp on global issues, current events, and business trends
• High levels of tact and diplomacy to interact with teams all over the world
• Ability to interact with all levels of the company top to bottom
• Flexible, nimble, and able to thrive within a growing and evolving organization
• Collaborative in nature
• Experience effectively managing relationships with external agency partners to maximize impact
• Proficient in Microsoft (PPT, Word, Excel) & Collaboration platforms (Teams, Zoom)

Sustainable impact is HP’s commitment to create positive, lasting change for the planet, its people, and our communities. This serves as a guiding principle for delivering on our corporate vision – to create technology that makes life better for everyone, everywhere.

HP is a Human Capital Partner – we commit to human capital development and adopting progressive workplace practices in Singapore.

We are a leading AI-driven quantitative fund seeking to strengthen our systematic team with a Data Science Focused Quant Researcher. This role involves leveraging advanced data science and machine learning capabilities to innovate and refine trading strategies within the financial markets.

Role Responsibilities:

• Collaborate with Portfolio Managers and other AI specialists to conduct robust quantitative research. This includes developing, testing, and deploying various machine learning and statistical models.
• Employ sophisticated data science techniques to extract actionable insights from vast and diverse datasets, integrating these insights into financial models.
• Utilize scientific methods to create advanced trading models, contributing to predictive analytics regarding market movements.
• Implement machine learning algorithms across extensive datasets to enhance model effectiveness and financial strategies.

Requirements:

• Advanced degree (Master’s/PhD) in Mathematics, Physics, Financial Engineering, Computer Science, or Statistics, with a strong focus on Machine Learning.
• Proven experience handling large datasets and applying machine learning techniques to real-world problems.
• Expertise in areas such as deep learning, reinforcement learning, non-convex optimization, Bayesian non-parametrics, natural language processing, or approximate inference.
• Publications in top-tier conferences like NeurIPS, ICML, ICLR, etc., are highly preferred.
• Proficiency in high-performance programming languages, ideally C++ or similar.
• Demonstrated excellence in quantitative analysis or competitions (e.g., Kaggle, hackathons, mathematical olympiads).
• Practical experience in implementing machine learning algorithms in a professional setting.
• Open to candidates transitioning from tech to finance, or current finance professionals with a strong machine learning background.

Role:

• Conduct quantitative research with PM and other AI quants to develop and back-test different machine learning and statistical models, as well as productionize such models.
• Combine sound financial insights and machine learning techniques to explore, analyze, and harness a large variety of datasets.
• Use a rigorous scientific method to develop sophisticated trading models and shape our insights into how the markets will behave.
• Apply machine learning to a vast array of datasets

Requirements:

• Masters/PhD degree in Mathematics, Physics, Financial Engineering, Computer Science, Statistics with specialization in Machine Learning
• Experience working with large datasets and machine learning techniques
• Experience in one or more of deep learning, reinforcement learning, non-convex optimisation, Bayesian non-parametrics, NLP or approximate inference.
• Publications at top conferences such as NeurIPS, ICML, ICLR etc. is highly desirable.
• Experience in a high performance language (ideally C++, or similar languages)
• Outstanding performance in any quantitative field or contest (Kaggle, hackathons, olympiads, academic contests etc).
• Experience implementing machine learning algorithms in industry.
• Open to ML quants who are already working within finance or ML quants within tech who are interested to move to finance.

About eGENTIC:

Welcome to eGENTIC – where innovation meets lead generation, reshaping the B2C landscape! We're not just a corporation; we're a dynamic powerhouse, seeking a proactive individual to join our sales force and conquer the Australasia and African markets. If you're a forward-thinking sales professional ready to make waves, this opportunity is calling your name!

Job Description:

As the Assistant Sales Manager for South Africa, you'll be the right-hand person for our lead generation initiatives in the region. We're on the lookout for someone who can dive deep into market intricacies while possessing a knack for executing impactful campaigns that resonate with our audience.

What We're Hunting For:

We're on the hunt for a market connoisseur who can cultivate strong sales relationships with both direct customers and advertising/media agencies. Your forte lies in captivating crafting campaigns that leave a lasting impression. A relentless trailblazer, you thrive on forging connections and expanding our client base through effective prospecting and strategic cold calling.

With unparalleled communication and negotiation skills, you're a master at sealing deals and overcoming obstacles with finesse. You're the visionary behind our sales strategies, driving exponential growth. A self-starter at heart, you take ownership of your tasks and excel in working autonomously. Identifying key prospects and devising strategic approaches come naturally to you. In addition to your individual brilliance, you're a team player who seamlessly integrates with all departments, fostering collaboration and empowerment among your peers.

Qualifications:

Experience navigating the African/Australasia market and a proven track record in setting up and executing operational campaigns. Demonstrated success in sales and business development and driving revenue growth.

A strategic maven with the ability to translate plans into actionable results, coupled with exceptional problem-solving skills. Your communication prowess is unmatched, capable of captivating any audience and fostering meaningful relationships. An analytical mindset and the agility to adapt to changing market dynamics ensure our strategies remain at the forefront of innovation.

Bonus points if you've spearheaded successful lead generation or digital marketing campaigns, showcasing your ingenuity and creativity. A degree in marketing, business, or a related field underscores your commitment to excellence and continuous growth.

What We Offer:

A competitive salary package, complemented by performance-based bonuses that recognize your contributions. Opportunities for professional growth and development, supported by a nurturing and collaborative work environment. The chance to play a pivotal role in our expansion into the South African market, making a tangible impact on our global footprint. A flexible hybrid work culture that respects your work-life balance and acknowledges your expertise both inside and outside the office.

If you're a motivated, results-driven professional with a knack for turning ideas into impactful campaigns and a passion for driving sales, we're excited to welcome you aboard! At eGENTIC, we're rewriting the rules of lead generation and we want innovative thinkers like you to be part of our journey. Join us and let's pioneer new paths in delivering top-tier consumer leads to businesses in South Africa. This role is based in the vibrant heart of Singapore.

Consumer Market Insights Lead Manager - Your future position?

Location: 1 Pioneer Turn, Singapore

Reporting to: Category Director - Personal Care

As a Consumer Market Insights Lead Manager at Givaudan, you will coordinate and execute regional market research projects and build consumer understanding following business objectives. Regional specific expertise.

Main Responsibilities

• Project Management: Lead cross-country or cross-category CMI projects (such as Fragrance Family), align test design and protocol, ensure quality execution and accurate analysis at regional level
• Data Management: Manage CMI database of historical projects across APAC countries with the support from CMI managers, to ensure data is stored centrally and database is standardised and updated for cross category reference.
• Continuous Improvement: As champion of some CMI tools (such as PRISM) and partner with CMI managers to implement new CMI methods in project context to build more in-depth consumer understanding. Collaborate with CMI managers and Marketing on maintaining category tools (such as Country Guide).
• Mentoring: Coach CMI managers/Junior managers on agency identification, preparation of fieldwork protocol, questionnaire design and data analysis
• Act as MR expert in direct contact with clients, to discuss and review CMI strategies, methodologies and results.
• Act as CMI business partner for internal stakeholders, working on projects throughout the development cycle providing in-depth interpretation of results to guide fragrance development and selection and to help to build rationale to support submissions

Main Qualifications

• Minimum 5 years experience in consumer market insights
• Bachelors Degree in any field are welcome
• Expertise in data analytics and presentation

Our Benefits

• Attractive package with benefits
• Excellent opportunities for progressive learning and development
• A creative team environment that will inspire you
• Comprehensive healthcare plans
• PTO and family leave

The School of Mechanical & Aerospace Engineering (MAE) invites applications for the position of Project Officer.

Key Responsibilities:

• Design control/navigation algorithms and operation strategies for insect-computer hybrid robots
• Integrate the algorithms to customized sensor-backpack controllers and test them with living insects
• Coordinate the research team to test, optimize, and execute the operation strategies designed
• Technical write up and presentation

​

Job Requirements:

• Bachelor's degree in Mechatronics/ Robotics/ Electrical and Electronics/ Computer Engineering/ Biological Engineering
• More than 2 years of experience in C/C++ programming for embedded system
• Experience in insect anatomy and physiology is advantageous
• Experience in control system design is advantageous
• Comfortable in handling living insects
• Experience in C#, Java, JavaScript, Python is advantageous
• A team player and technically motivated to solve problems.
• Good interpersonal and communication skills.

We regret that only shortlisted candidates will be notified.

A leading bank of Singapore is Implementing PFE module in Murex and looking for various consultants as part of the project implementation team.

Responsibilities:

• Prime role is to act as a Risk Consultant for upgrade project across IT and the business
• Work with different IT teams across infrastructure, and other divisions to deliver system solutions for the business.
• Build a strong relationship and manage expectations with users and stake holders.
• Candidate is expected to be fully hands-on when managing his assigned tasks and while acquiring the necessary skills as expected of his role and responsibilities. An independent worker who can multi-tasks is a must have quality
• It would involve Build, Test & Recon of Market Risk views, Stress Test Reports

Mandatory Skills Description:

• 5 years experience in Market Risk is required for one of the major financial software (Murex) in a Banking environment
• Good knowledge on VaR, Stress testing
• Good knowledge and hands on experience on MRE , ERM & Market data configuration , Debugging and development
• Good hands on experience on relevant technical skills ( SQL , Shell Scripting , Python and Ant Scripts)
• Hands-on business analysis role to analysis, process changes and functional requirements.
• Good technical background
• Team player with good communication & inter-personal skills.
• Candidate must have strong verbal and written communication skills in English

Nice-to-Have Skills:MLC & Collateral knowledge

Murex is one of the leading applications in the areas of global trading, risk management and trade processing and we using it cross asset classes, Front to Risk to Back in a setup with multiple production environments and grids, connections to many upstream and downstream systems. This challenging role provides unique opportunity to support a community of hundreds of regional users belonging to Front-Office, Operations, Finance, Credit & Market Risk and Limits Management. In this dynamic environment the team will also strive to improve the system stability through continuous improvement and participate into the ambitious pipeline of projects

Responsibilities:

• To track and be responsible for providing optimum service levels for day-to-day production support for the Murex/MLC/Risk users (Front office, Back-office, Finance etc).
• To collaborate with third party vendor/other support teams to provide a seamless support model for the business.
• Able to take ownership of high severity issues and follow through to closure.
• Answerable to business users and provide strategic long term solutions and participate in RCA and provide pre-emptive solutions for production stability.
• To assist in rolling out of new version of the application adhering to the best practices of the release management procedures.
• To be able to drive himself/herself to learn new things while dealing with daily production support
• To communicate effectively and work efficiently across different Business and support units

Mandatory Skills Description:

• 3-9 years of experience in Murex infra , architecture, Cloud, SQL, Unix Shell scripting, Linux, Knowledge in Murex application
• Supporting VAR module
• Experience in Murex application support/development
• Creation of VAR M reports, VAR viewers, MRE & MRA configuration and analyzing
the issues on historical VAR, Datamart
• Providing production support on the issues related to EOD failure, report failure,
VAR EOD failures.
• Able to debug issues in SQL, shell scripts
• Able to write Linux/Unix shell scripts , SQL
• Problem solving skills to solve day-to-day BAU issues
• Murex UAT environments setup and troubleshoot issues

Nice-to-Have Skills

• Demonstrate ownership and responsibility in all assignments
• Excellent communication skills