Develop and implement automated statistical trading models, conduct research and statistical analysis on large data sets.

Develop and optimize multi-threaded applications for a global trade execution platform, collaborating with analysts and engineers.

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

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

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

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 evaluating systematic trading strategies in futures markets, alongside improving existing processes and models.

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

The role involves sourcing C++ software developers using advanced recruiting techniques, maintaining sourcing activity reports, and leveraging an established recruiting network.

Develop and support high-performance multi-threaded applications, optimize trading strategies, and create tools for financial data analysis.

The role involves developing automated statistical trading models and analyzing large data sets while conducting statistical data analysis. Candidates are expected to possess analytical skills and a strong interest in financial markets.

Develop and maintain market data feeds, focusing on building infrastructure for trading applications in a real-time financial environment.

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

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

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

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

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.

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

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