Interns will develop software, enhance systems, and collaborate with traders and analysts to deliver software solutions in a fast-paced environment.

Assist in empirical research by analyzing financial anomalies, building data sets, and conducting statistical analyses in financial markets.

The role involves developing and improving quantitative trading models, enhancing portfolio performance, and leveraging strong statistical modeling skills in equity markets.

Design and evaluate systematic trading strategies in futures markets, improving existing processes and techniques while utilizing statistical models.

Develop new software and enhance existing systems in C++; create tools for processing quote, order, and financial data.

The role involves developing automated statistical trading models, conducting data analysis, and synthesizing financial literature. Strong analytical skills and programming experience are crucial.

The role involves designing and supporting simulation frameworks for backtesting execution and collaborating with researchers on trading ideas.

Develop and support multi-threaded applications, optimize trading strategies, and collaborate with teams to provide software solutions in a fast-paced environment.

Develop and support high-performance multi-threaded applications, optimize trading platforms, and create tools for data processing while collaborating with research analysts and engineers.

Develop and implement infrastructure for market data and trading, maintain market data feeds, and design large scale applications for performance improvement.

The role involves designing recruiting strategies, sourcing candidates, conducting interviews, and representing the company at events.

The role involves designing and evaluating systematic trading strategies in futures markets, alongside improving existing processes and models.

Develop and evaluate quantitative trading models, improve modeling techniques, and enhance portfolio performance in the equity markets.

Design and evaluate systematic trading strategies in the futures market, continuously improving strategies and research processes.

Develop and evaluate quantitative trading models in global equity markets, focusing on risk-adjusted returns and continuous improvement.

Develop software and enhance systems using C++ on Linux, create tools for processing financial data, and collaborate with analysts and engineers.

The role involves designing and developing simulation frameworks for backtesting execution approaches while collaborating with researchers for trading strategies.

Develop software and enhance existing systems using C++ on a Linux platform while collaborating with analysts and engineers to provide solutions.

Develop and enhance software systems in C++ on Linux; create tools for data processing and collaborate with research analysts and engineers.

As a Quantitative Research Developer, you will design and develop simulation frameworks for backtesting and collaborate on trading ideas with researchers.