Top Research Jobs in Singapore

Quantitative Research Engineers at Citadel's GQS develop software solutions, enhance trading systems, and collaborate with researchers to apply quantitative techniques.

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

Quantitative Researchers work on developing mathematical models, backtesting trading strategies, and conducting statistical analysis, utilizing complex data sets and algorithms.

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.

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

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.

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

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.

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

The role involves developing and teaching courses in Design & Technology Education, supervising students, and conducting impactful research in education.

Support interdisciplinary research on cognitive flexibility and learning: conduct literature reviews, interviews, surveys and behavioural experiments; liaise with schools; manage, code and analyse data (R/SPSS); prepare reports, protocols and manuscripts; assist quantitative and qualitative analyses; maintain research records and collaborate with project team members.

Lead marketing initiatives at Whetstone Research, create digital content, manage contributors, and prioritize strategies in blockchain and crypto.

The role involves researching and designing generative AI models, publishing research, mentoring interns, and collaborating with teams and external researchers.

Research Scientist will design and optimize generative AI models, publish research, mentor interns, and collaborate with teams globally.

The role involves developing and executing business strategies for customer acquisition across APAC markets, managing the sales cycle, and building relationships with senior stakeholders.

Support energy and climate engagements through economic and financial analysis, market and policy research, model and valuation development, and preparation of expert reports and presentations for clients and legal teams. Collaborate with senior staff on litigation, arbitration, and advisory matters, and contribute to client communications and deliverables.

Conduct research and technical evaluations of AI models (especially generative AI), build feasibility studies and proofs-of-concept, mentor and up-skill colleagues, participate in communities of practice, and keep current with AI research to de-risk deployments and advance company AI capabilities.

Conduct original research on generative AI and LLMs for crypto/finance, design and run rigorous experiments, build evaluation frameworks, develop post-training and test-time scaling methods, and collaborate with engineers to deploy research into production focused on agent reasoning, alignment, and robustness.

Conduct in-depth research and due diligence on crypto projects, produce comprehensive reports and risk assessments, analyze on-chain and internal data, evaluate TradFi intersections with tokenization, engage with project teams, and monitor market trends to inform Binance Research and cross-functional stakeholders.

Early-career research role implementing and running experiments on LLM reasoning, post-training alignment, and agentic AI for crypto markets. Tasks include literature synthesis, model implementation (PyTorch/Hugging Face), experiment tracking (Weights & Biases), and collaborating with engineers to translate research into production.