Jobs at Trexquant Investment

Lead the development of FX trading strategies, integrate FX as an asset class, build a team, and optimize execution and risk controls.

Lead a team of researchers to develop and implement systematic ETF strategies, optimize performance, and align with firm-wide investment strategies.

The Quantitative Researcher will develop and optimize trading strategies, analyze data for alpha signals, and collaborate on financial models.

As a Quantitative Researcher, you'll develop trading algorithms, analyze financial data, create predictive models, and collaborate within a research team.

Design, build, and maintain scalable ingestion, normalization, validation, storage, and lifecycle management of large-scale market and alternative datasets. Develop Python- and SQL-based pipelines, monitoring, and tooling to ensure research-ready, high-quality data across multiple asset classes while collaborating with researchers and infrastructure teams.

The Linux Systems Engineer will manage and scale on-premise bare-metal Linux infrastructure, ensuring system performance and reliability through automation and troubleshooting.

Develop and optimize machine learning and statistical models to predict liquid asset movements. Parse and analyze large datasets, implement academic research for alpha generation, and collaborate with Data, Alpha, and Strategy teams to design market-neutral trading strategies and run simulations to validate hypotheses.

The Senior Data Architect will design and lead the architecture of Trexquant's data ecosystem, ensuring unified access and efficiency by creating intuitive data solutions for researchers and simulators across various asset classes.

Design and maintain high-performance systems for algorithmic trading, optimizing data pipelines and collaborating with researchers and traders to enhance trading systems.

Lead the design and development of trading, research, and simulation systems. Collaborate with teams to optimize performance and scalability of infrastructure.

Build and scale analytics, market data, backtesting, risk, PnL, and tooling infrastructure for multi-asset systematic trading. Productionize research models, optimize performance, and deliver researcher/trader-facing GUIs and visualization tools.

Develop and implement state-of-the-art machine learning models and statistical methods using massive structured and alternative datasets to discover predictive signals, design experiments, validate ideas through simulation, and collaborate to move research into production trading strategies.

The role focuses on building tools for volatility research, designing trading strategies, analyzing data, and collaborating with a team to enhance trading strategies in volatility markets.

Provide on-site end-user IT support for the India office: configure and manage Windows/macOS/Linux endpoints, identity and access, device lifecycle, networking (DNS/DHCP/VPN/Wi‑Fi), peripheral ecosystems, automation via PowerShell/Bash/Python, ticketing and vendor management, and collaborate with global IT teams. Provide light after-hours US support and occasional NYC travel.

Analyze execution data across equities, futures, and other asset classes to build and maintain market impact and trade-cost models. Develop tools and studies to improve execution, collaborate with traders, researchers, brokers, and operations, and present findings to senior researchers to reduce transaction costs and enhance portfolio performance.

Join Trexquant as a Global Alpha Researcher to develop trading signals, implement research, and apply machine learning for alpha discovery.