Trading Systems Engineer

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.