Top Research Jobs in Singapore

Lead user research and market insights to evaluate customer perception of Airwallex. Design qualitative and quantitative studies, synthesize feedback, present data-driven recommendations to leadership, and collaborate with product, engineering, and commercial teams to integrate insights and improve customer experience.

The intern will develop trading strategies, back test models, analyze data, and collaborate with the research team to innovate and refine monetization systems.

Conduct research, statistical analyses, and develop automated trading strategies using large data sets and sophisticated statistical techniques.

The Quantitative Research Analyst will develop and test trading strategies, implement models, and conduct statistical analysis in financial markets.

The role involves pioneering machine learning techniques, developing advanced AI models, building data pipelines, and translating prototypes into products in code analysis.

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.

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

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

The role involves developing and improving mathematical models for trading, analyzing statistical data, backtesting trading models, and using unconventional data for insights.

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

The role involves researching and developing large language models (LLMs) with a focus on transformer architecture, data curation, distributed training, and optimization. Responsibilities include conducting experiments, collaborating with teams, and staying updated on deep learning advancements.

The Marketing Manager focuses on planning and executing omnichannel marketing campaigns to enhance awareness and engagement of Morningstar's research across global audiences, while managing multiple campaigns and collaborating with various teams.

Support Senior Global Industry Analyst covering Asia Financials by conducting fundamental company research, building and maintaining financial models and valuations, attending meetings and conferences, producing written research, and translating insights into investment recommendations.

Analyse dense seismic and fibre‑optic (DAS) data to develop methods characterizing earthquake source processes and fault structure. Collaborate with the InVEST team, contribute to publications, and engage stakeholders. Support data management; HPC/GPU experience is a plus.

Conduct fundamental research and financial analysis of publicly listed Taiwanese technology companies. Build detailed financial and valuation models (including DCFs), produce research reports and investment recommendations, monitor macroeconomic and political developments, present findings to the investment team, and maintain awareness of global market conditions. Frequent travel required.

Conduct research to improve fire and blast resistance of precast concrete structures through testing, numerical modelling, performance-based fire design, and reporting. Collaborate across disciplines to develop and validate resilient materials, joints, and structural systems and ensure compliance with safety standards.

The Research Associate will design experiments on plant growth, analyze data, manage plant growth chambers, and collaborate with colleagues. They will also write scientific papers and present at conferences.

The role involves developing innovative video creation tools using generative models, collaborating with a team, and enhancing user experiences through applied research in computer vision.

Build scalable QC systems and validation pipelines for RL training data: define quality standards, design metrics and experiments, audit supplier datasets, partner with vendors to diagnose failures, and integrate learnings into infrastructure and vendor tooling.

Design, implement, and maintain domain-specific benchmarks and infrastructure to run agents/models. Define tasks with subject experts, develop metrics and analyses, validate benchmark relevance to real-world evals, and produce clear technical documentation and reports.

Lead implementation and deployments for frontier AI labs and data vendors: triage technical requests, build tools and one-off pipelines, diagnose ambiguous problems across code/data/environments, coordinate cross-functionally, and turn recurring manual work into reusable processes.

Two-month software engineering internship building production-quality, high-performance C++ systems for trading and research. Work on low-latency, distributed Linux-based infrastructure, debug and optimize live systems, participate in code reviews, and deliver projects with mentorship and potential return offer.

Eight-week internship owning a scoped component of a live ultra-low-latency trading stack. Write and tune low-latency C++ or VHDL/Verilog, build benchmarking and monitoring tooling, profile critical C++ paths, collaborate with hardware/network/quant engineers, and deliver a measurable latency improvement or production component.

Support tectonic and earthquake research by processing and analyzing GNSS and creepmeter data, contributing to publications, and collaborating with the InVEST team on meetings and reports.