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.

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.

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.

Supports Edelman’s Strategy team through industry, market, media, cultural, competitor, and audience research. The intern synthesizes findings into reports and presentations, supports qualitative research, manages research and social listening tools, contributes to strategic planning and brainstorming, and assists with administrative and knowledge-management activities. The six-month full-time internship is based in Singapore.

Coordinates administrative, operational, communications, outreach, and event activities for a university research centre. Responsibilities include developing and distributing communications, managing event logistics and stakeholders, supporting budgeting and reimbursements, tracking workflows, maintaining records, and preparing documentation and reports. The role requires strong organisation, communication, time management, digital tool proficiency, and the ability to manage multiple priorities collaboratively.

Provides administrative and operational coordination for communications, events, outreach, and institutional initiatives. Responsibilities include developing and distributing communications materials, coordinating event logistics and stakeholders, liaising with internal and external partners, supporting budgeting and reimbursements, tracking workflows, and maintaining documentation and reports. The role requires strong organization, communication, time management, digital tool proficiency, and the ability to manage multiple priorities in a university environment.

Oversee NTU’s healthy longevity research programmes and strategic initiatives. Develop shared scientific roadmaps, implement internal funding programmes, coordinate interdisciplinary collaboration, manage strategic partnerships, monitor performance and funding utilisation, and support stakeholder events and governance. The role advances research translation, external funding competitiveness, and effective delivery across academic, healthcare, government, industry, and international partners.

Conduct research and literature reviews on AI applications in quantitative trading and financial investment. Develop AI solutions for optimizing investment strategies, run experiments to evaluate performance, analyze field-survey data, compare results, and write research papers. The role requires strong programming, analytical, communication, teamwork, and independent research skills, with finance knowledge and software engineering experience beneficial.

Conduct applied scientific machine learning research focused on PINNs, physics-constrained loss functions, digital twins, uncertainty quantification, Bayesian experimental design, or causal reliability modeling. Develop synthetic-data methods, validate models against physical ground truth, guide laboratory experiments, and deliver production-ready research prototypes with complete documentation. Required work includes deep PyTorch or JAX implementation, research output, and collaboration with storage-domain experts. Preferred experience includes diffusion models, GNNs, Neural ODEs, foundation model fine-tuning, reinforcement learning, and materials or semiconductor domains.

Supports multidisciplinary health behavioral research from planning through dissemination. Coordinates participant recruitment, data collection, ethics and regulatory submissions, databases, budgets, procurement, and stakeholder engagement. Conducts quantitative and qualitative analyses and prepares grant applications, reports, manuscripts, presentations, and research translation outputs while ensuring data governance and project compliance.

Build and maintain LLM-powered, agent-based tools that automate developer and quantitative researcher workflows. Collaborate with platform and infrastructure teams to deliver scalable solutions, applying prompt engineering, tool integration, access controls, and observability. Own projects from prototyping through deployment, rollout, and documentation while promoting strong engineering standards. The role requires Python, LLM API integration, AI application development, Linux, networking, and software engineering fundamentals.

Leads the warm-water aquatic animal health R&D site in Singapore, including personnel, facilities, product development projects, quality systems, regulatory compliance, budgeting, and operational performance. Oversees vaccine and therapy development, staff hiring and development, asset management, GLP/RQS quality, EHS and animal welfare standards. Acts as legal and government representative while collaborating with veterinary, regulatory, commercial, marketing, sales, and production teams to advance aquaculture products.

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.

Manage environmental research laboratories, including procurement, chemical and equipment inventories, instrument training and troubleshooting, equipment maintenance, safety inspections, risk assessments, regulatory compliance, and administrative operations. Support students and researchers using analytical instruments such as ICP-OES, GC-MS, CHN analyzers, and TOC/TN analyzers. Participate in laboratory safety and chemical spill response activities.

Support lead analysts by maintaining industry models, perform financial analysis and three-statement modeling, research semiconductor and AI markets, prepare reports and presentations, represent the firm at APAC events, and contribute to newsletter articles.

Build privacy and anonymization systems that detect and transform PII, credentials, secrets, and other sensitive information in data used for AI training. Develop detection methods combining rules, statistical models, classifiers, and LLMs; create production data-processing pipelines; evaluate privacy risk and retained utility; and ensure robustness against schema drift, unusual formats, leakage, and adversarial re-identification.

Conduct cancer and stem cell biology research using organoids, spheroids, and 2D cell cultures. Independently perform and analyze molecular and cellular experiments, including qRT-PCR, CRISPR manipulation, live-cell imaging, and biochemical assays. Collaborate with the PI and PhD students, optimize protocols, manage research plans, and support laboratory safety through risk assessments and SOPs.

Develop tools and infrastructure for training language models in interactive environments, implement novel methods in language modeling, reinforcement learning and multi-agent systems, and contribute to publications and open-source projects.

Lead and mentor a research team developing agentic AI (planning, RL, LLMs, diffusion, multi-agent systems). Define and execute research strategy, track state-of-the-art work, and build external AI community relationships to position Skyfall as a research leader.