Top Research Jobs in Singapore

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.

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.

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

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

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

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

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

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.

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.

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 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.

Perform membrane protein molecular biology, large-scale expression and purification (insect/mammalian), cryo-EM sample preparation and grid optimization, high-resolution data collection, processing, 3D reconstruction, model building/refinement, and present results within the research community.

Support numerical simulation research into underground blast-induced progressive collapse of multi-storey reinforced concrete structures. Develop, verify, and validate FEM/DEM models, perform parametric and sensitivity studies, benchmark commercial software, assess structural vulnerability, and contribute to an integrated FEMFAN3D-DEM computational framework. Prepare reports, publications, and collaborate with investigators and stakeholders.

Intern will research emerging AI technologies (LLMs, generative AI, RPA/OCR, NLP, computer vision), partner with business and tech teams to design and build prototypes/MVPs, document technical approaches for scaling, and integrate AI solutions into Marsh Risk systems. Role is hybrid in Singapore for 3–6 months (part-time acceptable).

Perform and optimize experiments for enzyme-based bioupcycling: set up high-throughput screening and automation, express and purify proteins, monitor processes, report results, liaise with team members, supervise students/interns, and manage lab supplies and documentation for funded projects.

Provide administrative support for pre-award and post-award research grant processes: document collation, tracking, routing for approvals and submissions, maintaining grant records and trackers, and liaising with faculty and internal offices to follow up on pending items.

Support translational bat immunology and aging research: run and document experiments, maintain lab safety and equipment, assist data analysis and literature review, interpret results, and prepare presentations, reports and manuscripts. May perform animal work, tissue processing, histology, and transcriptomics library preparation.

The Technology Research Analyst will author reports, conduct market analysis, lead custom research projects, and represent ABI Research as an expert in technology markets.