What are the responsibilities and job description for the Principal Software Engineer (USA) position at Trexquant Investment?
Trexquant is seeking a highly skilled Principal Software Engineer to lead the next-generation development of our trading and research simulation platform. This role is central to advancing Trexquant’s systematic trading infrastructure and enabling scalable alpha development across multiple asset classes. The successful candidate will architect, implement, and optimize high-performance systems that drive trading simulations, data processing, and live execution for quantitative strategies.
As a Principal Software Engineer, you will work closely with quantitative researchers, and engineers to design and maintain a robust, extensible simulation and backtesting framework. You will help shape the foundation for backtesting, performance evaluation, and live trading analytics that support Trexquant’s global systematic strategies.
Responsibilities
- 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.
- Collaborate with quantitative researchers to ensure the platform accurately models market dynamics, transaction costs, and execution behavior consistent with live trading environments.
- Design scalable infrastructure for data ingestion, transformation, and computation pipelines that efficiently process large-scale market data and model outputs.
- Optimize C systems for low latency, high throughput, and numerical precision, ensuring reliability and reproducibility across simulations and production trading.
- Integrate research workflows—including model training, evaluation, and deployment—into a unified infrastructure supporting both Python- and C -based research.
- Partner with infrastructure and data engineering teams to enhance caching, time-series management, and distributed computation capabilities.
- Ensure modularity, scalability, and extensibility of the simulation and backtesting framework to accommodate evolving research needs and new asset classes.
- Provide mentorship and technical guidance to engineers and researchers, promoting best practices in software design, testing, and performance validation.
- Bachelor’s, Master’s, or Ph.D. in Computer Science, Engineering, Mathematics, or a related quantitative field.
- 7 years of experience in quantitative research infrastructure, simulation systems, or high-performance trading technology development.
- Expert-level proficiency in C (C 17/20) with deep knowledge of algorithms, concurrency, data structures, and numeric computation.
- Strong understanding of market microstructure, execution systems, and simulation methodologies across multiple asset classes.
- Proven experience architecting large-scale, low-latency, high-throughput systems for systematic or high-frequency trading.
- Proficiency in Python for research workflow integration and data engineering.
- Strong background in data modeling, time-series computation, and system performance optimization.
- Excellent communication skills and ability to collaborate effectively with researchers and engineers in a fast-paced, research-driven environment.
- 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.
Trexquant is an Equal Opportunity Employer