Jobs at Trexquant Investment

Co-lead equity research, enhance alpha production, mentor team, and elevate research quality while directly contributing to live P&L.

The IT Systems Engineer provides end-user support, manages devices, troubleshoots software and hardware issues, and ensures system security in the India office, while occasionally supporting US users.

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.

Develop and optimize machine-learning models and trading signals for market-neutral strategies. Parse large datasets, implement academic research, backtest hypotheses, and collaborate with researchers to build scalable systematic trading strategies across equities, futures, commodities, and event-driven research.

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.

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.

The AI Engineer will develop and deploy AI systems, collaborating with researchers and optimizing tools for quant research applications.

The role involves exploring datasets, implementing machine learning in finance, designing features, and applying techniques for trading strategies.

Responsible for managing the full recruitment lifecycle to attract top talent in quantitative finance and technology roles, collaborating with hiring managers, and ensuring a positive candidate experience.

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

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

As a Quantitative Researcher, you will develop quantitative models, implement machine learning strategies, and collaborate on monetary trading algorithms.

The AI Engineer will develop and deploy AI systems, work with LLMs and large datasets, and partner with quant researchers to optimize investment strategies.

As a Quantitative Researcher, you will design and optimize machine learning models to predict asset movements, collaborate on experiments, and implement cutting-edge research.

As a Quantitative Researcher, you will design and optimize machine learning models, analyze large datasets, collaborate on predictive modeling, and innovate trading strategies.

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.