Top Research Jobs in Singapore

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.

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 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 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.

Conduct research on earthquake hazards, fault geometry, and rheology; generate rapid disaster maps using remote sensing and space geodesy; improve InSAR deformation and coherence time-series analysis with machine learning; analyze geospatial and geodetic datasets; and collaborate with multidisciplinary teams to translate findings into operational applications and publications.

Design, develop, and operate experimental test rigs for lab and field studies. Perform experiment setup, component assembly, sensors and hardware integration, data acquisition, and analysis to support research in autonomous vehicles and path-user interactions.

Conduct theoretical modeling of cold-atom quantum computing experiments, propose quantum algorithms and protocols using Riemannian geometry, and support experimental implementation. Responsibilities include building experimental capacity, analyzing results, creating data visualizations, and bridging theoretical physics with experimental research. The role requires independent research, programming proficiency, strong communication, and effective delivery under strict timelines.

Support senior analysts in producing institutional-grade equity and sector research across Asia-Pacific: build and maintain DCF/comps/SOTP financial models, forecast earnings, track results and sector news, conduct due diligence and management engagement, prepare investor materials and dashboards, maintain internal databases, and integrate AI-assisted workflows while ensuring compliance.

Lead business development and commercial growth across China and APAC, managing high-value prospects and clients, complex sales processes, proposals, negotiations, and C-suite relationships. Use Salesforce to manage sales stages, represent Aurora’s energy research, data, and software offerings, and contribute to product development. Occasional deals may span North America and EMEA.

Conduct medical, mortality, and underwriting research to modernize and maintain the Manulife Underwriting Manual across Asia. Evaluate medical evidence, mortality risks, underwriting methodologies, and portfolio impacts; develop defensible guidance on requirements, classifications, ratings, and exclusions. Collaborate with underwriting, medical, actuarial, claims, and external experts, while presenting recommendations to leadership and governance committees. Support risk philosophy development and AI-enabled underwriting knowledge assets.

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

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.