Top Tech Jobs & Startup Jobs

Investment Associates analyze companies and industries for investment opportunities, conducting valuations and financial modeling, and participating in investor communications.

Support trade lifecycle activities including clearance, settlement, and cash management. Collaborate with trading/financing desks, counterparties, and custodians. Identify and implement process and technology improvements, perform data analysis (Excel), and learn securities financing and prime brokerage workflows.

Develop and improve quantitative models for investment strategies, conduct statistical analysis, and implement trading models. Requires strong analytical skills and relevant degree.

Intern will learn financial markets, collaborate with traders, researchers, and technologists, apply statistical techniques to develop trading ideas, adapt strategies, and use proprietary trading platforms while networking with senior team members.

Quantitative Researchers at GQS leverage advanced statistical techniques and machine learning for investment strategies, portfolio optimization, and innovative research.

Develop and improve mathematical models and trading approaches. Conduct statistical analysis and back test trading strategies in a fast-paced environment.

Commodities Analysts generate commodity investment ideas through fundamental research and data analysis, focusing on modeling supply and demand and improving data quality.

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 and deploy advanced machine learning models across asset classes, focusing on deep learning, sequence/time-series modeling, NLP/LLMs, pre-training, fine-tuning, and reinforcement learning. Design and optimize models for performance, scalability, and robustness to model price formation, market behavior, and risk while collaborating with researchers, engineers, and traders.

Conduct ML research (deep learning, NLP) on large and unstructured financial datasets, implement algorithms in high-quality code, back-test models, document findings, and collaborate with senior researchers during an 11-week summer internship in Hong Kong or Singapore.