Search the 25 jobs at Trexquant Investment

The C++ Software Engineer will design, build, and optimize infrastructure for quantitative research, trading simulations, and data processing. Responsibilities include collaborating with researchers for system enhancements, developing efficient data pipelines, and maintaining high-performance trading systems.

As a DevOps Engineer at Trexquant, you will monitor and optimize trading processes, enhance development and deployment workflows, and ensure system reliability. Responsibilities include operational monitoring, continuous integration and deployment, quality assurance, documentation, and driving improvement initiatives within production processes.

The Investor Relations Associate at Trexquant supports existing investors with communication, prepares materials for calls, coordinates investor meetings, enhances marketing strategies, and conducts market research. This role involves building relationships with clients and developing strategies to attract new investors while providing analytical support and preparing reports on fund performance.

The Data Engineer will collaborate with researchers to understand data requirements and trading strategies, develop and maintain scripts for data processing, ensure data accuracy and optimize retrieval processes, integrate new data sources, provide technical support, and document workflows.

The Quantitative Researcher will design, implement, and optimize machine learning models to predict liquid assets, analyze data sets for alpha development, and apply cutting-edge research in quantitative finance while collaborating with other researchers.

As a Data Scientist at Trexquant, you will analyze and parse large data sets, discover new data sources, and collaborate with teams to develop predictive machine learning models. You will also create data visualizations and research machine learning techniques to derive insights and identify patterns in data.

The Trading Systems Operations Engineer will ensure the smooth operation of trading systems infrastructure through monitoring, incident response, troubleshooting, and performance optimization. Collaboration with traders, developers, and analysts is key to supporting daily trading operations and implementing solutions to minimize downtime.

The Quantitative Researcher will design and optimize machine learning models for predicting liquid assets, analyze large data sets, implement academic research in quantitative finance, and collaborate with a team on experiments and hypothesis testing.

The Contract Manager will oversee procurement contracts globally, involving drafting, negotiating, and managing vendor agreements related to technology and professional services, while ensuring compliance with policies and regulations. Responsibilities include vendor relationship management, contract lifecycle management, and collaboration with internal teams.

As a Global Alpha Researcher, you will develop market-neutral trading signals, implement academic research, create algorithms for combining Alphas, and apply machine learning techniques for alpha discovery and portfolio construction, while working remotely and flexibly.

As a Senior Full Stack Engineer at Trexquant, you'll design, develop, and optimize a next-generation trading platform. You'll collaborate with quants and researchers, manage project priorities, ensure system performance, and advocate for modern engineering practices. This role requires a proactive approach and a commitment to delivering high-quality software solutions in a dynamic environment.

The Linux Systems Engineer will manage and optimize Linux-based infrastructure, ensuring system reliability and performance. Responsibilities include server maintenance, troubleshooting, automation script development, and collaborating with IT teams for deployment in on-premise and cloud environments.

This role involves replicating and improving existing QIS strategies, managing data for the QIS platform, and assisting the investment team in strategy decisions and portfolio management associated with quantitative investment strategies.

The Technical Interviewer will evaluate candidates' technical skills in Python through coding tests and project evaluations. They will collaborate with recruiters to understand technical requirements, develop assessment methods, and provide feedback to enhance the hiring process.

The Head of LLM Quantitative Strategy Team will lead a team of researchers to develop machine learning models for trading strategies using large language models. Responsibilities include conducting research, applying machine learning techniques, and enhancing investment capabilities through effective data utilization and teamwork.

The Head of Systematic Credit Strategy Team is responsible for leading a team of researchers in developing systematic credit strategies. The role involves optimizing trading strategies, enhancing data pipelines, and ensuring robust risk monitoring while collaborating closely with senior management and various teams to align research with overall investment strategies.

Lead and grow the Risk Management Team by enhancing risk management platforms, developing risk analysis metrics, implementing risk mitigation tactics, and overseeing risk factor exposures across portfolios. Collaborate with various teams to create optimal risk policies and present findings to senior management.

The Head of Options Quantitative Strategies will develop and lead a team in creating profitable options and volatility-based trading strategies, integrating these strategies into existing quantitative processes, and collaborating across teams to optimize execution and monitor risks.

The Head of FX Strategy will develop and lead a quantitative FX Strategy Team, researching, implementing, and trading profitable FX based strategies. Responsibilities include managing FX data pipelines, collaborating with team members to enhance trading platforms, and overseeing the execution and risk management of FX strategies.

The Head of Global Alpha Researchers will lead the Global Alpha Researcher Program, mentoring participants to develop Alpha Strategies. Responsibilities include executing the strategic vision for the program, overseeing research projects, and fostering collaboration. The ideal candidate should have a strong background in quantitative finance and leadership skills.