Top Research Jobs in Singapore

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

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

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

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.

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.

Plan, activate, and optimize top-of-funnel APAC research marketing campaigns across email, digital, social, paid, events, and webinars. Collaborate with global research, creative, and comms teams, manage multiple campaigns, analyze KPIs to optimize performance, and localize messaging for regional audiences.

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.

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.

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.

Develop uncertainty-aware algorithms and reproducible Python pipelines to infer and map underground fiber-optic cable routes by fusing DAS-derived signals with GNSS, inertial, imagery and map datasets; conduct field data collection, validate inferred routes, quantify spatial uncertainty, and prepare publications, reports, and collaborative research deliverables.

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.

Support a research project designing human-IoT communication for healthier seniors: manage finances and admin, recruit participants, plan logistics, conduct literature reviews, collect qualitative and quantitative data, and analyze data using SPSS and Mplus. Prepare reports and collaborate with faculty and external vendors.

The analyst will cover small/mid-cap stocks, provide recommendations, develop financial models, maintain client relationships, and respond to market information.

Research Engineers will build QA systems for training data, define quality standards, audit datasets, and collaborate with data vendors to enhance data generation processes.

Manage and audit product catalog data across e-commerce platforms and CMS, optimize listings for SEO and platform rules, correct listing errors, support taxonomy and attribute structures, analyze catalog performance, and collaborate with marketing and design to improve digital merchandising.