Top Research Jobs in Singapore

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

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.

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

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

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.

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, 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.

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

Early-career role analyzing PB-scale on-chain, transactional and customer data. Perform data engineering, ETL, querying, build visualizations and ML models, translate insights for teams, manage reporting environment, secure confidential data, and troubleshoot reports/databases.

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.

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.

Source and evaluate blockchain and crypto projects for listing, build relationships with founders and VCs, support due diligence and tokenomics analysis, drive internal approvals, negotiate terms, and represent Binance at global events.

Early-career research role designing and running experiments on LLM reasoning, post-training alignment, and test-time scaling. Implement model variants and training pipelines in PyTorch/Hugging Face, evaluate on crypto-native data, maintain experiment tracking (W&B), and partner with engineering to translate research to production.

Designs, supports, and optimizes high-performance, low-latency networks across co-location, data center, and office environments. Performs monitoring, troubleshooting, moves/adds/changes, circuit migrations, connectivity testing, infrastructure migrations, on-call rotation, and liaises with carriers and exchanges.

Support Singapore research team with data collection, market analysis, and basic financial modeling. Prepare presentations and reports, track industry news, attend meetings and conferences, and complete projects under mentorship to develop research and analytical skills in semiconductors and AI infrastructure.

Perform financial and market research for the semiconductor and AI industries, build and maintain industry models, prepare reports and presentations, follow earnings and product trends, and represent the firm at regional conferences.

Conduct China-focused semiconductor and AI supply-chain research, produce data-rich equity notes and weekly coverage, build bottoms-up financial models for Chinese foundries, fabless designers, memory and equipment firms, monitor disclosures and policy, engage industry contacts, and support institutional clients with timely analysis.

Support Singapore research team with data collection, market analysis, and basic financial modeling. Assist preparing reports, tracking industry news, attending events, and developing analytical skills through training and projects.

The Research Associate will design and implement Hardware AES and ASCON Accelerators into the RISC-V CVA6 core, ensuring performance and integration while conducting simulations for testing.