Lead Trading Systems Engineer (USA)

Trexquant Investment LP

Stamford, CT

JOB DETAILS
SKILLS
Best Practices, C++ Programming Language, Caching, Cross-Functional, Emerging Technology, Fixed Income Investments, Futures, High Throughput, Linux Operating System, Mentoring, Operations Research, Order Management, Python Programming/Scripting Language, Quantitative Research, Scalable System Development, Simulation, System Integration (SI), Systems Engineering, Team Player, Technical Leadership, Time Management, Trading Systems
LOCATION
Stamford, CT
POSTED
30+ days ago

Trexquant is looking for a senior technologist to lead the design and evolution of our core trading, research, and simulation infrastructure. This role involves architecting and building scalable, low-latency systems in Linux environments, collaborating closely with quantitative researchers & engineers, and driving next-generation simulation and execution platforms.

Responsibilities

  • Design, build, and enhance core infrastructure systems that support trading, research, and operations, including integration with the firm's Order Management System (OMS).
  • Architect and develop a high-performance multi-asset simulation and backtesting platform capable of supporting strategy research, backtesting, and deployment across equities, futures, fixed income, and derivatives.
  • Evaluate existing systems to identify bottlenecks and implement improvements that enhance scalability, performance, and security.
  • Collaborate with quantitative researchers and cross-functional teams to ensure the platform accurately models market dynamics, transaction costs, and execution behavior while aligning technical initiatives with a long-term infrastructure roadmap.
  • Design and optimize scalable data and compute infrastructure for low-latency, high-throughput processing of large-scale market data across simulation and production trading.
  • Improve caching, time-series management, and distributed computation while keeping the simulation & backtesting framework modular and scalable.
  • Oversee the development, integration, and deployment of systems and tools in C++, Python, and Linux environments.
  • Provide mentorship and technical guidance to engineers and researchers while staying current with emerging technologies and industry best practices.

About the Company

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Trexquant Investment LP