Head of Systematic Trading Operations
About the job
- A Bachelor's, Master's, or Ph.D. degree in Mathematics, Computer Science, or another related STEM field.
- At least 8 years of experience in trading operations, middle office, or related functions at a quantitative hedge fund or systematic proprietary trading firm.
- A strong understanding of global equity trading, trade lifecycle management, prime brokerage, clearing, and settlement.
- Experience overseeing complex, automated trading environments across multiple markets and asset classes.
- Strong technical skills, including a solid understanding of trading systems, data flows, and operational infrastructure.
- The ability to anticipate issues, resolve them quickly, and implement practical solutions that improve operational efficiency.
- Strong programming and systematic trading infrastructure fluency.
- Hands-on, detail-oriented, and proactive approach, with a strong sense of ownership and accountability.
- Identify opportunities to automate workflows, improve efficiency, reduce costs, and strengthen operational infrastructure.
- Build and improve operational processes and infrastructure to support the firm's growth into new markets, strategies, and asset classes.
- Continue to build out a robust monitoring system.
- Establish and maintain robust operational controls to minimize trading errors, settlement failures, and operational risks.
- Manage relationships with prime brokers, executing brokers, custodians, and other trading counterparties.
- Coordinate with researchers, technology, risk, compliance, and finance teams to ensure seamless operations.
- Work closely with execution teams to monitor trading performance, transaction costs, broker connectivity, and execution quality.
- Oversee the firm's day-to-day trading and operational activities and ensure trading systems, execution processes, and operational functions run smoothly, efficiently, and reliably.
- Experience scaling trading operations across multiple asset classes is highly desirable.
About the company
Trexquant is a quantitative finance firm that builds multi-asset portfolios using machine learning. It develops investment and research tools that ingest a wide range of data variables to create complex trading models and strategies, which in turn generate trading signals. These signals guide decisions across global markets. The product works by applying advanced machine learning to large datasets to create predictive models and rule-based strategies, which drive portfolio construction and trading actions through the firm’s platform. Trexquant differentiates itself by emphasizing the breadth of data it uses and the depth of machine-learning driven models to craft multi-asset portfolios, aiming to produce signals that outperform global market conditions. The company’s goal is to generate investment performance that beats benchmarks by using data-driven signals and diversified, multi-asset strategies.
Company Size
51-200
Company Stage
N/A
Total Funding
N/A
Headquarters
Stamford, Connecticut
Founded
2012
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Simplify's Take
What believers are saying
- On January 13, 2026, Trexquant announced a New York City office for Fall 2026.
- Trexquant Careers posted a September 5, 2026 opening for Head of Systematic Macro Strategy.
- Oxford Ledge tracked Q1 2026 holdings growth to $13.8 billion, up 23.2% quarter-over-quarter.
What critics are saying
- Trexquant competes with Citadel, Man Group, and Two Sigma for scarce quant researchers.
- Alpha decay and crowding can erase statistical-arbitrage edges within months after signal discovery.
- A 2026 drawdown would trigger redemptions, compress fees, and threaten Trexquant's franchise.
What makes Trexquant unique
- Trexquant's TREX QUANTA platform unifies research, simulation, and collaboration for alpha development.
- The firm runs market-neutral global equity portfolios using machine learning and data science.
- Its Q1 2026 13F reported 1,561 positions and $13.8 billion in equities.
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Benefits
- Health Insurance
- Pre-Tax Commuter Benefits
- Performance Bonus