Trexquant is a growing systematic fund manager with a core team of highly accomplished technologists. We apply a wide variety of statistical and machine learning techniques to build investment portfolios and trade our client assets in global equity and futures markets. With locations in the US, China and India, our global team in excess of 50 employees is comprised primarily of research professionals with advanced science, math and technology degrees who explore the universe of quantitative methods for opportunities to enhance and adapt our platform and profit in an exciting and dynamic environment.
About the team:
Technology is an integral part of everything we do at Trexquant and our engineering team is the backbone of our company. Our software engineers work alongside our quants, researchers, and portfolio managers to build data platforms, storage and computational infrastructure, low latency trading systems and simulators that empower our business.
Your responsibilities:
- Design and develop trading systems, simulators and internal research tools
- Design, implement and engineer mission critical infrastructure computing systems
- Work alongside quants, researchers, and portfolio managers to build tools modeling, trading and execution
- Improve and scale the performance of our trading platforms and expand our low-latency trading systems to new asset classes by using open source technologies
- 5+ years of experience developing in Python/C++/Linux in an enterprise environment
- Degree in Computer Science, Engineering or other related fields
- Prior development experience in a fault-tolerant or data intensive application is a plus
- Background in financial industry is a plus but not necessary
- Competitive salary plus bonus bonus based on individual and company performance
- Collaborative, Casual, and friendly work environment
- PPO Health, dental and vision insurance premiums fully covered for you and your dependents
- Pre-tax commuter benefits
- Weekly company meals
Top Skills
What We Do
Being a quantitative finance firm that uses Machine Learning (ML) to create multi-asset portfolios and seek profit from the market, Trexquant has continuously improved its investment and research platform since starting operations, leveraging new and emerging technologies. Trexquant uses rigorous quantitative methods to create multi-asset portfolios in global markets. To do this, Trexquant develops trading signals using its vast and continuously growing collection of data variables used as inputs for more complex trading models called Strategies. The result is an ever-growing and adapting engine built from thousands of intricate models and tens of thousands of signals, tailor-made with the goal to outperform the market during any condition. Capital is managed across 5,500+ cash equity positions across the United States, Europe, Japan, Australia, and Canada.
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