Top Research Jobs in Singapore

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 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.

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

The Manager in Operations Strategy will conduct user research, analyze customer feedback, and present insights for product improvements, collaborating with cross-functional teams.

The analyst will cover small/mid-cap stocks, provide recommendations, develop financial models, maintain client relationships, and respond to market information.

Manages relationships with key clients, leads qualitative research projects, enhances processes, and contributes to revenue growth, leveraging extensive market research experience.

Research Engineers will build QA systems for training data, define quality standards, audit datasets, and collaborate with data vendors to enhance data generation processes.

The intern will conduct research on RL algorithms for multimodal models, design RL infrastructure, and explore next-generation RL paradigms.

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

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

The HR Operations Specialist will manage employee lifecycle processes, support HR teams, enhance data quality, and drive process improvements.

As an AI Research and Development Intern, you will conduct research on AI technologies, partner with teams, design solutions, and document processes. The role involves hands-on learning and development of AI prototypes.

Lead capital allocation for a crypto portfolio, managing dynamic asset allocation and optimizing frameworks for risk budgeting and hedging strategies. Responsibilities include cross-asset research and monitoring risk across strategies.

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.