Lead Trading Systems Engineer (USA)

Trexquant Investment

$175K — $200K *
Finance & Insurance
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's, Master's, or Ph.D. in a STEM field (Computer Science, Engineering, Mathematics).
  • 6+ years of experience in high-performance trading or simulation infrastructure in Linux.
  • Expert-level proficiency in C++, Java, or Python, with a preference for C++.
  • Experience with scalable, low-latency system architecture in production environments.
  • Knowledge of market microstructure and execution systems.
  • Familiarity with developing Order Management Systems (OMS) or similar trading infrastructure.
  • Strong communication skills for effective collaboration.

Responsibilities

  • Design and enhance infrastructure systems supporting trading and research operations.
  • Architect a multi-asset simulation and backtesting platform for diverse financial instruments.
  • Identify bottlenecks in existing systems and implement scalability and performance improvements.
  • Collaborate with teams to align technical initiatives with long-term infrastructure goals.
  • Optimize data infrastructure for low-latency processing of market data.
  • Enhance caching, time-series management, and modularity of the simulation framework.
  • Mentor engineers and researchers, staying updated with tech trends and best practices.

Benefits

  • PPO Health, dental, and vision insurance premiums fully covered for you and your dependents.
  • Pre-tax commuter benefits.
  • Weekly company meals.
  • Collaborative, casual work environment.
Full Job 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.

Requirements

  • Bachelor's, Master's, or Ph.D. in Computer Science, Engineering, Mathematics, or a related STEM field.
  • 6+ years of experience building high-performance trading, simulation, or research infrastructure within Linux environments.
  • Expert-level proficiency in one of these programming languages: C++ (C++17/20), Java, or Python, with strong knowledge of algorithms, concurrency, data structures, and systems architecture. Preference for C++.
  • Experience architecting scalable, low-latency, high-throughput systems in Linux-based production environments.
  • Knowledge of market microstructure, execution systems, and simulation or backtesting methodologies.
  • Experience designing or supporting OMS, execution, or comparable trading infrastructure.
  • Excellent communication skills and ability to collaborate effectively across engineering and research teams.
  • Financial industry experience is a plus, but not required.

Benefits
  • Competitive salary plus 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


Applications are open for both Stamford and New York City offices, the latter with a planned opening in October 2026.

The base salary range is $175,000 - $200,000 depending on the candidate's educational and professional background. Base salary is one component of Trexquant's total compensation, which may also include a discretionary, performance-based bonus. This position is classified as overtime-exempt.

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