Python Engineer-Trade Operations
About the job
- A Bachelor of Science or Master of Science in Computer Science, Information Technology, or a STEM-related field is required.
- At least 3 years of experience in a similar role is required; financial services industry experience is preferred.
- Strong proficiency with Linux systems is required.
- Strong proficiency with Python is required.
- The role requires interfacing with internal and external clients.
- The candidate must be able to work independently in a fast-paced, high-pressure environment.
- The candidate must understand Market Data/Order Entry systems and have an interest in modern electronic markets.
- Design and drive the continual improvement of the trading platform using Python.
- Support implementation of new trade functionality, such as new asset classes or new prime brokers, including establishing FIX sessions, file encryption, and FTP setup.
- Monitor trading systems and infrastructure components to ensure optimal performance and reliability.
- Proactively identify and resolve potential issues to minimize downtime and optimize system efficiency.
- Respond promptly to system alerts and incidents, investigate root causes, and implement solutions to prevent recurrence.
- Use automation tools, including AI-based solutions, to improve accounting or operational workflows.
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