Top Research Jobs in Singapore

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.

Build high-performance research and production systems for AI-driven systematic trading. Responsibilities include developing low-latency C++ services, market-data and execution components, quantitative research pipelines, backtesting and simulation platforms, machine-learning model deployment workflows, and monitoring infrastructure. Optimize systems for throughput, latency, memory efficiency, resilience, and deterministic behavior while partnering with quantitative researchers and traders to productionize strategies and support live trading systems.

Conduct deep AI and quantitative research for electronic trading by pre-training Transformer and time-series foundation models on large-scale financial datasets. Develop representations, architectures, self-supervised objectives, distributed training systems, fine-tuning methods, and evaluation protocols for alpha generation, pricing, execution, market making, and risk management. Study scaling laws, transfer learning, robustness, data efficiency, inference cost, and latency while collaborating with infrastructure engineers to build reusable model-training and serving components.

An off-cycle quantitative trading and research internship focused on derivatives pricing, risk management, electronic execution, systematic trading, and portfolio optimization. The intern will build mathematical and machine learning models, develop pricing and hedging tools, research trading strategies, conduct scenario analysis, assess model risk, and implement high-performance analytics in production systems while collaborating with traders, risk managers, and banking teams.

Three-to-six-month quantitative trading and research internship developing mathematical models, pricing and risk tools, algorithmic trading strategies, portfolio analytics, and high-performance software. Interns apply machine learning and advanced statistics to derivatives pricing, hedging, electronic execution, market making, risk management, and systematic trading. The role involves quantitative research, scenario analysis, model validation, production implementation, collaboration with traders and risk managers, and communicating technical findings.

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 modern C++ systems for systematic investing, including low-latency data processing, high-frequency trading execution, quantitative analytics libraries, and machine-learning inference tools. Collaborate with quantitative researchers to build scalable, reliable, and performant production platforms, design distributed data pipelines, evaluate system architectures, and maintain fail-safe live-market trading infrastructure.

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

Research and assess Asia-based fund managers, investment strategies, and managed products. Lead manager interviews, develop rating notes and research reports, formulate investment opinions, contribute to thought leadership, and help shape research methodologies. The role also involves analytical assignments, stakeholder engagement, administrative work, and collaboration with global investment, research, data, and software teams.

Monitor live trading and portfolio risk, develop automated trading operations software, coordinate software and hardware upgrades, manage cross-functional projects, scale trading operations through programmatic solutions, and resolve discrepancies involving trading positions, broker statements, and internal applications.

Conduct computational research in electromagnetism, nanophotonics, and electron-photon interactions in the EUV regime. Develop C++ and Python software, formulate theories from Maxwell’s equations and quantum electrodynamics, publish research, present at conferences, support grant writing and student supervision, and assist with laboratory operations.

Leads academic research projects, develops novel prototypes and experimental methods, manages research funding and project progress, collaborates with industry and research partners, presents findings, and mentors graduate and undergraduate students. The role requires strong analytical, communication, experimental design, modeling, teamwork, and independent research capabilities, along with a preferred master’s degree in Computer Science, Electronics Engineering, or an equivalent field.

Conduct research on scalable algorithms for spatial data systems, publish high-quality research papers, and build deployable systems from research results. The role involves designing experiments, implementing experimental methods, applying modelling techniques, collaborating across disciplines, monitoring project progress, and reporting findings.

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 on spatial data systems by designing scalable algorithms, writing high-quality research papers, and developing deployable systems. The role involves formulating hypotheses, designing experiments, implementing experimental methods, applying modelling techniques, collaborating across disciplines, and overseeing and reporting project progress.

Conduct research on AI for nature-based climate solutions by curating multimodal ecohydrological remote-sensing datasets, training and evaluating deep-learning models on high-performance computing systems, and applying them to tropical ecosystem analysis. The role requires expertise in computer vision, remote sensing, model development, reproducible experimentation, scientific writing, and programming with Python, MATLAB, and PyTorch.

Leads end-to-end market research, including questionnaire development, research design, field management, analysis, interpretation, and reporting. Manages client relationships, provides project updates, and serves as a key client liaison. Applies commercial thinking, storytelling, creativity, analytical skills, and project management expertise to transform complex briefs into actionable research approaches supporting innovation, product development, and launch decisions.

Supports research on cognitive flexibility, learning, and training-related brain changes among adults and adolescents. Responsibilities include participant recruitment, dataset organization, data coding and analysis protocols, conference and journal preparation, and administrative support. The role requires experience with cognitive testing, neuroimaging, participant recruitment, research data management, Singaporean ethical frameworks, statistical software, reporting, and general office tools.

Supports interdisciplinary research on cognitive flexibility, learning, and training-related brain changes. Responsibilities include recruiting adult participants, organizing datasets, standardizing data coding and analysis protocols, assisting with conference presentations and journal papers, and completing research administration. The role requires expertise in adult cognitive testing, neuroimaging, participant recruitment, research data management, Singaporean ethical frameworks, statistical analysis, research reporting, and strong organizational and communication skills.

Develop robotics datasets and evaluations for embodied AI systems. Responsibilities include defining data schemas, annotations, quality standards, collection protocols, validation tools, and review workflows. The role also involves running experiments to assess how data quality and structure affect model performance, collaborating with research, engineering, vendors, and customers, and taking research tools from conception through deployment.

Conduct interdisciplinary education research integrating cognitive science, psychology, statistics, data analytics, and learning sciences. Responsibilities include designing research programs, leading projects, securing external funding, publishing peer-reviewed findings, translating research into educational practice and policy, managing program administration, and contributing to institutional research initiatives and service activities.

Deliver quantitative consumer research, analytics, and insights for clients across brand health, segmentation, usage and attitudes, customer experience, and shopper insights. Build trusted client relationships, understand business priorities, present compelling data-driven recommendations, provide tactical training, ensure accurate and timely project delivery, and identify opportunities for account development.

Lead research on improving AI agent training data and evaluations. Manage and mentor research engineers, define research direction, design rigorous experiments, validate data quality, diagnose reward and grading failures, and translate findings into scalable tools, workflows, and standards. Collaborate with engineers, domain experts, and vendors while communicating technical conclusions and tradeoffs clearly.

Supports multidisciplinary academic research in biomechanics, robotics, advanced materials, simulation, and BioMEMS. Responsibilities include developing computational models, conducting biomechanical experiments, fabricating tissue simulants through 3D printing, optimizing sensor and data acquisition systems, analyzing results, preparing research outputs, coordinating vendors and collaborators, tracking technical deliverables, and maintaining laboratory safety and equipment.