Top Research Jobs in Singapore

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.

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 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.

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

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

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.

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.

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

Conduct independent research in machine learning and generative design, publish in top-tier venues, guide project students, lead and contribute to meetings, and perform duties supporting the research programme and industry collaboration.

Conduct independent research on computer vision and machine learning: process data, develop and evaluate algorithms, author peer-reviewed papers, engineer research software, design experiments, analyse results, propose new projects and funding ideas, and manage research-related tasks.

Lead development of vision-language model based situation awareness and decision-making for autonomous vehicles. Tasks include model training, test rig setup, experimental validation, and contributing to journal/conference publications while working with minimal supervision.

Support a research project evaluating integration of LEAN4 into university mathematics teaching by designing interventions, coordinating data collection, performing statistical analyses, preparing reports and manuscripts, and helping develop LEAN4-based teaching materials.

Support the Principal Investigator by conducting literature reviews, developing research instruments, collecting and analysing data, preparing figures, reports and presentations, drafting manuscripts, coordinating meetings, and maintaining project documentation.

The Research Associate will develop solutions for a rehabilitation robot, collaborate with stakeholders, conduct market research, and ensure compliance.

The Research Scientist/Engineer will innovate algorithms for real-time adaptation, optimize ML systems, and ensure impactful product interactions.

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.

Conduct research to advance agentic systems by developing methods for planning, reasoning, and reinforcement learning with LLMs and multi-agent systems. Design experiments, build datasets, and stay current with academic advances to improve LLM performance in complex workflows.

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.

Apply and adapt the COSMOS framework to new scientific datasets, collaborate with domain experts to interpret discovered motifs and co-develop mechanistic hypotheses, guide data structuring and labeling, advise experimental planning, and build reusable ML pipelines for deployment across domains.