Top Research Jobs in Singapore

Develop and productionize quantitative models and systematic trading strategies for prime services. Build portfolio optimization and automation tools, conduct scenario and performance analysis, and deliver production-quality analytics and governance supporting trading, risk, and financing decisions.

Lead quantitative research and systematic trading efforts for Prime Financial Services. Build models, analytics, and production infrastructure to optimize inventory, collateral, financing, hedging, and execution. Drive research-to-production lifecycle, monitoring, controls, performance attribution, and partner directly with trading, technology, and risk to deliver actionable, production-quality solutions.

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.

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.

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.

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.

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

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

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

The role involves researching and developing large language models (LLMs) with a focus on transformer architecture, data curation, distributed training, and optimization. Responsibilities include conducting experiments, collaborating with teams, and staying updated on deep learning advancements.

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

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

The Marketing Manager focuses on planning and executing omnichannel marketing campaigns to enhance awareness and engagement of Morningstar's research across global audiences, while managing multiple campaigns and collaborating with various teams.

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.

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.

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

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

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

Design and implement LLM-agent pipelines that synthesize and iteratively refine executable programs; complete tasks in an interactive simulated testbed using execution traces and human feedback; research multi-program long-horizon planning and reusable program components; report progress to PI and help scope milestones.

Support research on LLMs for education: design and evaluate LLM-based algorithms, prepare and analyze educational datasets, build prototypes, assess grading, feedback accuracy and fairness, and contribute to publications and platform integration.

Conduct and manage research under a Principal Investigator: plan experiments, manage project milestones and resources, supervise students, collaborate with partners, report progress, and develop innovative experimental or modelling methods.

Conduct research to develop general robotic manipulation systems for household and manufacturing use. Develop robotic foundation models integrating vision-language-action models with online reinforcement learning, design efficient data-sampling policies to reduce RL data demand, and build a mobile bimanual manipulation system for diverse real-world tasks.

Conduct research to develop mobile and bimanual robotic manipulation systems for household and manufacturing tasks. Build robotic foundation models and vision-language-action models, create manipulation learning frameworks from human instructional videos, and implement efficient mobile bimanual systems for diverse deployments.