Top Research Jobs in Singapore

This internship allows students to gain experience in developing a Prices Dashboard and backend computations for sugar commodities, focusing on data integration and analysis.

Lead and manage quantitative research projects, collaborate with internal teams to analyze results, and present findings to clients.

The Trade Operations Associate is responsible for overseeing trading operations, building monitoring systems, automating workflows, and collaborating with various teams to ensure efficient trade execution.

The Research Engineer will design protocol-level features, prototype implementations, and collaborate with partners on innovative solutions in blockchain technology.

The role involves designing new protocol features for blockchain, conducting protocol research, and explaining innovations to users and partners.

As an FX & Rates Strategy Intern, you'll analyze market data, maintain FX/Rates models, and support team projects, gaining exposure to the trading floor.

Develop and enhance Workday HCM modules, serve as a subject matter expert, and collaborate globally to optimize HR systems.

As a Research Analyst, you'll analyze data to uncover insights, deliver measurement solutions to support clients and internal stakeholders, and collaborate across teams to drive business impact.

As a VP/ED Credit Research, you will produce independent credit research, generate sector insights, engage clients, and provide internal advisory on credit market developments.

Lead the Research Technology Solutions Engineering team, engaging with researchers to develop technology solutions and manage technical resources. Requires 7+ years in software development and familiarity with quantitative investment.

Develop and maintain trading strategies, optimize system architecture, and provide technical support within a trading team, utilizing programming skills and financial market knowledge.

As a Quantitative Researcher, you will develop systematic HFT market making strategies by collaborating with traders and developers, drawing on your experience in high frequency trading.

The Executive Assistant provides administrative support to the executive team, manages schedules, coordinates travel, and handles communications and events.

Collaborate with quantitative researchers and traders to design datasets, code for data extraction and management, and solve data issues.

As a Counsel in Applied Legal Research, you will apply corporate law knowledge to enhance legal AI applications, collaborate across teams, and contribute to data extraction improvements.

As a PhD Research Intern, you'll collaborate with scientists on AI methods, build datasets, run experiments, and document findings.

As a Research Scientist, you will lead innovative AI research, design experiments, publish findings, and collaborate on integration into products.

The role involves leading market research initiatives in APAC, engaging clients, managing a research team, and producing impactful content. Requires substantial experience in capital markets and strong analytical skills.

The Associate Project Director manages quantitative tracking studies in the APAC region, overseeing project delivery, costs, and team management while ensuring quality and client satisfaction.

Analyze international sectors and their data trends for Mi-Data Research. Responsibilities include data collection, analysis, and report preparation.

Lead the development of planning algorithms for autonomous systems, ensuring safe navigation while mentoring a team and driving technical innovation.

Design and develop API integrations for crypto exchanges, enhance trading platform, create monitoring tools, and troubleshoot issues with traders.

Interns will conduct fundamental research on industries, markets, companies, and financial data, supporting equity analysis and stock selection under the guidance of analysts.

Research and develop machine translation algorithms for gaming, optimize systems, tackle language challenges, and stay updated with NLP technologies.

The role involves optimizing generative models across multiple modalities, conducting algorithm training, and addressing algorithm performance in real business applications.