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.

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.

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.

Collaborate with quantitative researchers to analyze data, develop research tools, and enhance and maintain automated trading systems and algorithms. Build scalable software solutions using quantitative techniques to address complex financial problems. The role requires strong programming, Linux development experience, creative problem-solving, business-value prioritization, and effective stakeholder communication.

Lead equity research coverage across ASEAN telecommunications, media, technology, internet, fintech, and digital infrastructure companies. Develop financial models, valuation analyses, investment views, research reports, earnings updates, and thematic publications. Engage with company management, investors, and clients; monitor competitive and regulatory developments; collaborate with sales and trading; and mentor junior team members.

Develop high-performance C++ systems for systematic investing, including real-time data processing, low-latency trading execution, and machine-learning inference tools. Design scalable distributed systems and resilient data pipelines, maintain critical production platforms, and build greenfield solutions in collaboration with quantitative researchers. Ensure software correctness, reliability, performance, and fail-safe operation in live-market environments while aligning technical work with business value.

Conduct applied AI/ML research focused on software engineering, code quality, testing, and maintenance. Design experimental prototypes, develop Python-based AI/ML solutions, collaborate with researchers, engineers, and product managers, publish findings, participate in code reviews, and apply DevOps practices to maintain reliable research infrastructure.

Develop mathematical models and trading strategies, back test trading models, conduct research and statistical analysis for monetization systems.

Supports the development and evaluation of compliance-approved AI tools, research workflows, datasets, prompts, and analytical approaches for investment professionals. Combines alternative data, fundamental research, business analysis, and AI methods to generate actionable insights. Collaborates with researchers, product managers, data scientists, engineers, Compliance, and investment teams while testing outputs for accuracy, relevance, explainability, and usefulness.

Build and productionize AI-powered research tools and agentic pipelines for Global Investment Research. Develop full-stack features with Java or Python, implement RAG and multi-agent workflows, integrate AWS services, create evaluation and benchmarking systems, monitor production performance, support incident resolution, and maintain testing, CI/CD, documentation, and Agile delivery practices.

Own Aurora’s APAC Financial Institutions portfolio, managing strategic accounts and high-priority prospects. Lead relationship management, business development, cross-selling, full sales cycles, negotiations, and revenue growth across financial institutions. Support energy financing transactions, develop bankability strategies, represent Aurora at industry events, and provide market intelligence. Collaborate with research, advisory, software, product, and commercial teams while serving as the regional subject matter expert for financial institutions and energy finance.

Conduct reinforcement learning research, develop innovative experimental methods, prepare conference papers and grant proposals, co-supervise students, support teaching, collaborate across disciplines, and oversee project progress. The role requires advanced knowledge of reinforcement learning and LLM-agent systems, strong analytical and communication skills, and the ability to formulate hypotheses and design effective experiments.

Conduct research on advanced AI-based motor control systems for electric motor drives. Responsibilities include developing control algorithms, designing power converters, and performing analytical and numerical modelling. The role requires expertise in motor design, control, and fabrication, along with strong written and oral communication skills. A publication track record is advantageous.

Conduct robotics research involving probabilistic perception, uncertainty-aware algorithms, and robust manipulation. Develop and benchmark C++ and Python software, integrate robotic hardware and sensors, validate systems experimentally, maintain open-source repositories, prepare patent disclosures and research manuscripts, manage laboratory infrastructure, follow safety standards, and co-guide student researchers.

Conduct research and develop software and hardware for uncertainty-aware robotic perception and manipulation. Responsibilities include designing and benchmarking probabilistic robotics algorithms, developing ROS/ROS2 software, integrating robotic hardware and sensors, validating systems experimentally, publishing research, preparing patent disclosures, managing laboratory infrastructure, and co-guiding students.

Assists an electronics research group with integrated circuit design, including circuit schematic development, hardware prototyping, EDA simulations, IC layout, post-layout extraction, circuit measurements, and electronic system design. The role requires independent work, hands-on technical experience, proficiency with advanced EDA tools and measurement instruments, and strong communication skills.

Conduct research and development in model-based haptic sensing and haptic SLAM for cable- or tendon-driven soft robots. Responsibilities include physics-based modeling, numerical simulation, proprioceptive force estimation, prototype design and fabrication, multi-actuator control, 3D printing, experimental validation, data analysis, and technical publication. The role requires hands-on development of complete soft robotic systems using HEBI actuators, MATLAB, SoRoSim, sensors, control electronics, and rigid and flexible printed components.

Develop novel microfluidics tools for detecting nanoscale bioparticles such as extracellular vesicles and viruses. Responsibilities include developing an automated portable microfluidic pump and impedance analyzer for cell culture monitoring, maintaining laboratory safety and inventory procedures, conducting risk assessments and audits, tracking budgets, purchasing laboratory items, and training staff and students.

Develops orbital lifetime prediction and end-of-life disposal models for small satellites. Evaluates passive, active, and hybrid deorbiting strategies, disposal feasibility, deorbiting performance, collision risks, and space debris evolution. The role also contributes to an integrated simulation and decision-support framework for mission safety and orbital lifetime assessment, requiring research communication, independent problem-solving, collaboration, and technical proficiency in aerospace simulation tools.

Conduct research on wireless sensing across emerging platforms, including quantum sensing, agricultural field testbeds, water-quality monitoring, and food-sensing applications. Develop and evaluate sensing systems through modeling, experimentation, and data analysis. Investigate applications in smart agriculture and environmental intelligence, collaborate across disciplines, publish findings, and oversee project progress.

Supports multidisciplinary dementia research through neuropsychological, neuroimaging, and laboratory-based work. Responsibilities include literature reviews, statistical and research analyses, clinical recruitment coordination, research administration, and preparation of proposals, reports, manuscripts, and presentations. The role contributes to research design, methodologies, analyses, recruitment decisions, and project planning under the direction of the principal investigator.

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.

Lead primary and secondary research on naphtha markets, deliver written and quantitative analysis, collaborate on supply-demand models, build market networks, support global Naphtha and regional Oil & Commodities Research teams, and produce client-facing insights.

Conduct interdisciplinary research on generative AI in education, including designing LLM-based dialogue systems, classroom studies, randomized controlled trials, data-analysis pipelines, and learning-process evaluations. Responsibilities include literature reviews, ethics and grant administration, staff supervision, stakeholder coordination, reporting, publications, and dissemination. The role requires translating learning-science principles into AI systems and studying their effects on students’ reasoning, creativity, and argumentation.

Leads and grows Unity’s applied AI research team in Singapore, setting technical direction, developing research roadmaps, and moving machine learning models from prototypes into production. Partners with global product, engineering, and research teams, establishes experimentation and model-quality practices, mentors researchers and engineers, and represents applied research internally and externally. The role focuses on modern machine learning, deep learning, large language models, multimodal models, and applications to games, 3D content, and creative tools.