Top Research Jobs in Singapore

As a Summer Associate, you will develop mathematical models and methodologies in financial engineering and risk management while collaborating with professionals. This program aims to enhance your career and may lead to full-time opportunities.

As a Quantitative Research Associate, you will develop mathematical models, improve trading strategies, collaborate with trading desks, and ensure regulatory compliance.

As a Quantitative Research Analyst at J.P. Morgan, you will develop mathematical models in Python and C++, partner with trading desks, and analyze financial products.

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 automated trading strategies, work on quantitative research, and apply machine learning to market data, in collaboration with experienced teams.

Develop and implement automated trading systems, collaborating with quantitative researchers to deliver custom software solutions, utilizing advanced statistical techniques.

Conduct research, statistical analyses, develop trading strategies, and improve mathematical models using large data sets for market predictions.

Interns will develop mathematical models, implement trading systems, utilize data analysis, and collaborate with team members during an 11-week program.

Develop quantitative models, conduct statistical analysis, and implement trading strategies using sophisticated statistical techniques and data sources.

Develop and test automated trading strategies using statistical techniques; conduct research and implement trading models.

As a Quantitative Research Analyst Intern, you'll develop and test quant trading strategies, conduct statistical analysis, and translate algorithms into code.

The Manager in Operations Strategy will lead user research efforts, analyze customer feedback, and present insights to improve product development and service enhancements.

The internship involves research and implementation of automated trading strategies, applying advanced quantitative techniques and machine learning to market data.

As a Research Fellow, you will conduct applied research integrating AI/ML techniques into software engineering, develop algorithms, and collaborate with teams to enhance system performance and code quality.

The Operations Associate will perform reconciliations of Triparty transactions, investigate discrepancies, communicate results, and streamline processes.

The role involves leading market research initiatives in APAC, engaging clients, managing a research team, and producing impactful content. Requires substantial experience in capital markets and strong analytical skills.

Lead marketing initiatives at Whetstone Research, create digital content, manage contributors, and prioritize strategies in blockchain and crypto.

The Frontend Engineer will implement UI features, automate UI testing, and oversee production releases while focusing on user experience in the blockchain space.

The Protocol Researcher will focus on researching mechanisms for decentralized finance, designing new protocols like Doppler, and collaborating with engineering to build these ideas.

Design and implement features for a smart contracts protocol, testing performance, and ensuring successful deployments.

The Backend Engineer will implement new SDK and Indexer features, automate testing, support integration, and oversee production releases.

NVIDIA seeks an AI Research Scientist to develop generative AI models, publish research, mentor interns, and collaborate with teams.

The intern will assist in developing and testing localization algorithms for autonomous vehicles, focusing on LiDAR and Visual-Inertial Odometry.

Lead the development of algorithms that enhance robot autonomy, focusing on multi-modal learning, control integration, and real-time application in robotics.

Architect and maintain a data platform for robot learning, creating scalable data flows and ensuring high-quality training datasets are available.