Jobs at Trexquant Investment

Conduct quantitative research for systematic investment strategies by exploring financial datasets, implementing machine learning and academic research, engineering predictive features, and applying models to alpha discovery and portfolio construction. The internship is full-time and on-site in Beijing from July through September 2027, with potential conversion to a full-time role.

Manage accounts payable, invoices, reimbursements, travel bookings, books and records, monthly close, intercompany allocations, and internal controls. Provide backup Middle Office and Controller coverage through P&L and position reconciliations and NAV reviews. Improve accounting workflows and documentation while developing expertise in fund accounting, NAV mechanics, and financial services operations.

Provides senior legal counsel to executives and management on corporate strategy, governance, transactions, technology, employment, immigration, trade, commercial, intellectual property, and cross-border matters. Leads legal resources, coordinates external counsel, supports negotiations and risk decisions, and mentors legal and management teams across U.S. and global operations.

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.

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.

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.

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.

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

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.