Top Research Jobs in Singapore

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.

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.

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

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.

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.

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.

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.

Research and update risk and compliance profiles by monitoring public sources, extracting and validating data, analyzing anti-money laundering regulations, and producing due diligence reports. The role also supports automated workflow improvements, responds to client content inquiries, provides translation services, and contributes to research projects.

Supports interdisciplinary research on digital cultures, platforms, technology, and social transformation in Asia. Responsibilities include literature reviews, qualitative, quantitative, and computational data collection, dataset organization, preliminary analysis, academic writing, policy briefs, grant proposals, project tracking, event coordination, and collaboration with internal and external research partners.

Supports humanities, arts, and social science researchers through coding, digital methods, data collection and analysis, cloud services, and web or mobile application development. Responsibilities include training researchers, maintaining the Centre website and portal, supporting technical research proposals and publications, managing software development guidelines, and improving research services. The role also involves ethical data scraping, dataset preparation, academic events, and staying current with relevant software development practices.

Provides technical and methodological support for digital humanities, arts, and social sciences research. Responsibilities include coding, dataset collection and preparation, web and mobile application development, cloud service support, website maintenance, digital methods training, research proposal assistance, software development standards, and service improvement. The role also supports academic events and collaborates with researchers and technical teams across NTU and Singapore.

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

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.

The Research Assistant will support the CHARM study by conducting literature reviews, designing learning materials, analyzing data, and disseminating research findings.

Conduct research in machine intelligence, deep learning, foundation models, and AI applications. Analyze algorithms on large-scale datasets, implement scalable prototypes, collaborate on systems from research through production, and develop solutions for real-world problems. The intern will investigate research tools and methods, contribute to technology transfer, and potentially support patents, publications, standards, internal tools, and product or business collaborations.

Research Fellows will validate AI-generated paper reproductions, simulations, and results; map research taxonomies; define standards for high-quality AI-assisted science; and create benchmark tasks and evaluations for frontier AI models. Fellows will contribute to a publicly released benchmark paper and open evaluation set as lead or first authors. The contract offers flexible, remote global work for current STEM PhD students or postdocs with published research and hands-on AI agent experience.

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.

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.