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

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.

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.

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

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

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.

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

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.

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.

Support organometallic and organic synthesis research: perform lab experiments, analyze data (NMR, GC/HPLC, MS), maintain instruments, manage supplies, and present progress at group meetings.

Support a 20-month research project testing an AI-enabled tagging system for digital portfolios. Duties include literature reviews, quantitative and qualitative data collection and analysis (SPSS, NVivo), assisting publications, presentations and reports, and administrative tasks. Collaborate with the PI and team, work independently, and apply AI-for-learning knowledge within teacher education.

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.

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

The Research Engineer will conduct R&D on vector search systems and algorithms, design experimental frameworks, and collaborate on research publications.

The role involves conducting research on AI strategies for quantitative trading, developing AI solutions, analyzing data, and writing research papers.

The Research Assistant will support the CHARM study by conducting literature reviews, designing learning materials, analyzing data, and disseminating research findings.

As a Quantitative Researcher, you will develop systematic HFT market making strategies by collaborating with traders and developers, drawing on your experience in high frequency trading.

As a Research Consultant, you'll advise clients on market research methodologies, design studies, create questionnaires, interpret results, and collaborate on project strategies with the sales team.