Search the 20 jobs at Trexquant Investment

The role involves replicating and enhancing QIS strategies, managing required data, and assisting in investment decisions for QIS strategies by generating and managing trading signals within a portfolio.

The Head of Systematic Credit Strategy Team will lead a Quantitative Credit Team, focusing on the development and implementation of data-driven credit trading strategies. Responsibilities include enhancing the systematic credit program, collaborating with development and risk teams, and presenting research outcomes to senior management.

As the Head of FX Strategy, you will develop and lead a quantitative FX Strategy Team that focuses on researching, implementing, and trading profitable FX strategies. This role involves enhancing trading platforms, building data pipelines, and collaborating with various teams to optimize execution and manage risks.

The Head of Global Alpha Researchers will lead and enhance Trexquant's Global Alpha Researcher Program. Responsibilities include mentoring researchers, developing Alpha Strategies, managing research projects, and fostering collaboration among participants, all while aligning the program with company goals. A strong background in quantitative finance and leadership is essential.

The Head of Options Quantitative Strategies will lead a team to develop, research, and implement quantitative options and volatility strategies. Responsibilities include data identification for backtesting, collaboration with development and risk teams, and optimization of trading executions, while regularly updating senior management on strategy alignment.

The Head of Execution Team will oversee the execution of trades across various asset classes while developing tools to analyze execution data. Responsibilities include improving transaction costs, managing market impact models, and leading a team of quantitative execution professionals.

The Data Engineer will collaborate with researchers to meet data requirements for trading strategies, develop scripts for data processing, ensure data integrity, optimize retrieval processes, integrate new data sources, and document workflows. The role also involves providing technical support for data-related issues and staying abreast of industry trends.

The Senior Technical Recruiter will manage the full recruitment lifecycle, attracting top talent for quantitative finance and technical roles. Responsibilities include developing recruitment strategies, liaising with hiring managers, ensuring a positive candidate experience, and utilizing various sourcing channels.

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.