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.

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

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.

Perform financial and market research for the semiconductor and AI industries, build and maintain industry models, prepare reports and presentations, follow earnings and product trends, and represent the firm at regional conferences.

Conducts research and develops software and hardware for uncertainty-aware robotic perception and robust manipulation. Responsibilities include designing and benchmarking algorithms, developing ROS/ROS2 open-source software, integrating robotic hardware and sensors, validating systems experimentally, writing patents and research papers, managing laboratory infrastructure, and co-guiding students.

Drive long-term research and build production-ready enterprise AI: prototype and scale models, lead projects, validate with customers, collaborate with product and engineering to deliver large-scale generative AI and agent systems.

Conduct paleoseismic trenching, fault-zone and bedrock analysis, geological sample characterization, laboratory testing, scientific data management, and technical reporting. The Research Engineer II role develops and validates operational seismic-processing software, integrates AI-assisted earthquake monitoring workflows, contributes to research publications, and mentors students. Roles require multidisciplinary collaboration, detailed documentation, and field or laboratory work.

Supports paleoseismology, neotectonics, and geodetic research through geological fieldwork, trench investigations, sample processing, levelling-data digitization, quality control, and analysis. Responsibilities include geological and geodetic data management, integration of levelling, InSAR, and GNSS observations, technical reporting, and collaboration across multidisciplinary research teams. The role may involve demanding fieldwork, regional travel, and mentoring undergraduate interns.

Design and optimize high-frequency trading infrastructure, including exchange connectivity, market-data systems, trading simulations, risk tools, and performance tracking. Develop low-latency network and systems software, analyze market data, and build tools for identifying trading patterns. Candidates should have a computer science degree, C++ development experience, strong data structures and algorithms knowledge, and familiarity with high-throughput systems, Linux, and networking.

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.

Supports a movement science research project investigating creativity, motor skills, and multimodal brain and movement data. Responsibilities include recruiting and scheduling participants, collecting video and 3D motion capture data, organizing large datasets, conducting analyses in R, JASP, Python, and MATLAB, preparing reports and publications, and maintaining the Motor Behavior Lab.

Conduct interdisciplinary research developing in vitro bioelectronic tissue models through biofabrication and biomaterials engineering. Responsibilities include preparing hydrogels and bioinks, 3D bioprinting cell-laden constructs, performing mammalian cell culture and biological assays, conducting electrical and functional characterization, analyzing microscopy data, maintaining records, supporting publications, and contributing to laboratory operations and collaborations.

Conduct research on security vulnerabilities in 4G/5G cellular networks and core network systems. Analyze architectures, protocols, and implementations; design experiments to validate vulnerabilities and assess their impact; and develop testbeds, prototypes, and security analysis tools. Contribute to publications, technical reports, presentations, and project deliverables while collaborating with the principal investigator and research team.

Develop, validate, and deploy AI algorithms for digital health research; support data platform development, data analysis, and research operations. Collaborate with clinicians, researchers, coordinators, and biostatisticians, publish findings, prepare technical reports, mentor junior researchers, and contribute to grant applications and project management.

Manages clinical study start-up teams, staffing, resources, timelines, metrics, and process improvements across multiple countries. Oversees direct reports through mentoring, training, performance management, and career development. Supports feasibility, costing, proposals, client presentations, SOPs, regulatory compliance, and study transitions. Establishes harmonized start-up processes while coordinating stakeholders and ensuring adherence to ICH/GCP, FDA, European regulatory, and applicable ethics committee requirements.

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.