Top Research Jobs in Singapore

Design, develop, and deploy software solutions for automated trading systems while collaborating with researchers on technology priorities.

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 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.

The SEA Market Research Account Executive at Qualtrics will drive sales of AI-powered market research software across multi-country organizations, manage complex sales cycles, and grow enterprise accounts.

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

The BNY Summer Internship Program offers students hands-on experience in financial services with responsibilities in client support, research, and business strategy while fostering professional development and networking.

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

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

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

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

The role involves researching market opportunities, engaging with external partners, and supporting strategic development for venture creation.

The Research Associate supports research activities, assists Senior Analysts, performs due diligence, manages databases, and maintains relationships with clients and corporates.

Reolink offers fully-funded PhD positions focusing on synthetic data generation, agentic AI, and edge computing, requiring strong programming skills and relevant degrees.

The role involves supporting R&D in generative AI applications, assisting in model training and analysis, and collaborating with senior researchers in advanced AI explorations for interactive entertainment.

Architect and implement the firmware stack for Asimov's robotic platform, ensuring real-time control and collaboration with cross-functional teams.

The Machine Learning Researcher will design and deploy deep learning models for trading systems, analyze data, and optimize model performance.

The Client Support Consultant devel ops client relationships, manages queries, and integrates AI solutions to drive efficiency and sales growth.

The role focuses on ML systems research for optimizing large-scale inference, extending serving stacks, and improving AI inference infrastructure on GPUs.

The Software Developer will design and implement a low-latency trading platform, optimize machine learning algorithms, and develop data analysis tools.

Manage the end-to-end immigration process for APAC countries, optimize mobility policies, and collaborate on HR practices ensuring compliance and support.

As a Distributed Systems Engineer, you'll architect and scale infrastructure for humanoid robots, working on real-time data streaming, cloud simulation, and training platforms while collaborating with robotics engineers.

Develop and maintain internal systems and tools to automate production environments, build scalable web services, collect and visualize large data sets, support other technical teams, and implement innovations to improve trading infrastructure.