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.

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.

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.

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.

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.

The Cloud DevOps Engineer will deploy, maintain, and support tools in cloud and on-premises environments, focusing on CI/CD, infrastructure as code, and AWS services.

Design and own end-to-end technical architecture, optimize data pipelines and concurrency for heavy extraction and file parsing, guide technical decisions, enforce engineering standards, and mentor team stakeholders. Collaborate on frontend/backend integration and maintain scalable, high-reliability systems.

Manage and deliver quantitative brand equity tracking and custom research for pharmaceutical clients: design questionnaires, ensure data integrity, analyze results, produce reports and presentations, run workshops, and mentor junior team members to translate insights into strategic brand recommendations.

Lead and manage client projects in healthcare market research, develop strategies for business growth, and oversee team development.

The role involves developing trade ideas in FX and rates markets, managing sell-side relationships, and conducting fundamental research for the investment team, particularly focused on Southeast Asia.

The role involves collaborating with traders on ETF research, analyzing corporate actions, improving dividend predictions, and developing trading models using quantitative analysis.