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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.