Jobs at Trexquant Investment

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

Design and improve trading platforms with Python, support new trade functionality and integrations, monitor systems and infrastructure, respond to incidents, troubleshoot root causes, and optimize performance and reliability. Collaborate with quantitative researchers, engineers, senior leadership, and internal and external clients. The role also supports automation of accounting and operational workflows and requires understanding of market data and order-entry systems.

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.

Build and scale automation, tooling, and deployment pipelines for research and trading platforms. Manage Kubernetes environments, design CI/CD pipelines, automate configuration and provisioning, maintain observability (monitoring, logging), develop internal tooling, collaborate with Linux systems engineers, and document operational best practices.

The Financial Controller will oversee reconciliation processes, coordinate audits, manage accounting operations, and enhance vendor payment workflows.

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.

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.

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

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, 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.