Top Research Jobs in Singapore

Develop mathematical models and trading strategies, back test trading models, conduct research and statistical analysis for monetization systems.

As a Quantitative Research Analyst Intern, you will develop and improve trading models, conduct statistical analysis, and collaborate with team members in a data-driven environment.

Quantitative Researchers work on developing mathematical models, backtesting trading strategies, and conducting statistical analysis, utilizing complex data sets and algorithms.

The role involves developing and improving mathematical models for trading, analyzing statistical data, backtesting trading models, and using unconventional data for insights.

Design, develop, and deploy software solutions for automated trading systems while collaborating with researchers on technology priorities.

Join a cross-asset front-office quant trading team to design and implement algorithmic execution strategies, back-test models and signals, develop low-latency infrastructure and transaction-cost-analysis models, and perform statistical analysis to optimize client execution.

Join a front-office quantitative trading team to design and implement algorithmic execution strategies, back-test models and signals, build low-latency trading tools, and run real-time and post-trade transaction cost analysis to optimize execution.

Develop and maintain mathematical models and trading algorithms for valuation, hedging, risk measurement, and electronic trading in commodities. Collaborate with trading desks, product managers, technology, and control functions to implement production-ready models, ensure regulatory compliance, and support quantitative innovation and portfolio risk methods.

Participate in semiconductor technology research and development projects: perform experiments, data analysis, modelling/simulation, and device characterization; generate technical reports, recommendations, and present findings. Leverage AI/ML and advanced analytics where applicable and collaborate with engineers to support process integration and next-generation memory technology development.

Quantitative Research Engineers at Citadel's GQS develop software solutions, enhance trading systems, and collaborate with researchers to apply quantitative techniques.

The intern will develop trading strategies, back test models, analyze data, and collaborate with the research team to innovate and refine monetization systems.

Conduct macroeconomic analysis and forecasting for Asian frontier economies, build and maintain econometric models and chartbooks, contribute to EM Edge publications, collaborate with economists and strategists, respond to client requests, and support sales and trading with research insights.

Conduct research, statistical analyses, and develop automated trading strategies using large data sets and sophisticated statistical techniques.

The Quantitative Research Analyst will develop and test trading strategies, implement models, and conduct statistical analysis in financial markets.

Lead user research and market insights to evaluate customer perception of Airwallex. Design qualitative and quantitative studies, synthesize feedback, present data-driven recommendations to leadership, and collaborate with product, engineering, and commercial teams to integrate insights and improve customer experience.

The role involves pioneering machine learning techniques, developing advanced AI models, building data pipelines, and translating prototypes into products in code analysis.

Conduct research for investment opportunities, evaluate viability and performance of investments, and prepare financial models and recommendations.

Conduct ML/DL research to develop predictive models from large market datasets, integrate models into systematic trading strategies, contribute to AI/ML libraries, and deploy production algo systems with P&L responsibility across FX, Rates, Commodities, and Credit.

Perform parasitology research including identification, isolation and culture of fish parasites; investigate parasite life cycles with time-point sampling; maintain experimental fish groups and cultures; plan and run experiments, manage lab procurement, supervise student interns, keep records, ensure safety and compliance, and report project progress.

Lead and execute applied R&D projects in battery management, energy storage, renewable integration, hydrogen, fuel cells, and microgrids. Develop control, monitoring, diagnostics, optimization, digital twin, AI, and energy management solutions. Design and test prototypes, contribute to proposals, publications, intellectual property, and industry technology transfer. Collaborate with industry and research partners, mentor junior researchers, present technical findings, and identify emerging capabilities supporting energy transition and decarbonization.

Conduct China-focused semiconductor and AI supply-chain research, produce data-rich equity notes and weekly coverage, build bottoms-up financial models for Chinese foundries, fabless designers, memory and equipment firms, monitor disclosures and policy, engage industry contacts, and support institutional clients with timely analysis.

Support lead analysts by maintaining industry models, perform financial analysis and three-statement modeling, research semiconductor and AI markets, prepare reports and presentations, represent the firm at APAC events, and contribute to newsletter articles.

Conduct credit research coverage on Asian USD/SGD issuers, build and maintain financial models, publish research and thematic pieces, market insights to clients, and collaborate across equity/credit/macro teams.

Supports the Social Cohesion Research Programme through literature reviews, multivariate analysis of cross-national data, online trend detection, database management, report writing, and statistical tabulations. The role also assists with strategic events and meetings and provides insights for decision-making and communication. Candidates should have a social sciences or data analytics degree and familiarity with Singaporean and regional cultural dynamics.

Conduct research to advance agentic systems by developing methods for planning, reasoning, and reinforcement learning with LLMs and multi-agent systems. Design experiments, build datasets, and stay current with academic advances to improve LLM performance in complex workflows.