Lead Trading Systems Engineer (USA)

Trexquant Investment LP

  • Stamford, CT
  • 30+ days ago
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    Skills

    • Best Practicesunmatched
    • C++ Programming Languageunmatched
    • Cachingunmatched
    • Cross-Functionalunmatched
    • Emerging Technologyunmatched
    • Fixed Income Investmentsunmatched
    • Futuresunmatched
    • High Throughputunmatched
    • Linux Operating Systemunmatched
    • Mentoringunmatched
    • Operations Researchunmatched
    • Order Managementunmatched
    • Python Programming/Scripting Languageunmatched
    • Quantitative Researchunmatched
    • Scalable System Developmentunmatched
    • Simulationunmatched
    • System Integration (SI)unmatched
    • Systems Engineeringunmatched
    • Team Playerunmatched
    • Technical Leadershipunmatched
    • Time Managementunmatched
    • Trading Systemsunmatched

    Description

    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.

    Numbers & Facts

    LocationStamford, CT

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