Why this role stands out
You can drive innovation in quantitative finance by building the next generation of high-performance trading systems and analytics platforms, leveraging your C++ expertise in a hybrid environment with competitive compensation. This role is perfect for a mid-senior engineer who thrives on optimizing complex systems and collaborating with top researchers and traders to achieve exceptional results. Apply now to join a growing, reputable firm and make a significant impact on their cutting-edge quant platform.
Quick overview
Job description
Trexquant is a growing systematic fund at the forefront of quantitative finance, with a core team of highly accomplished researchers and engineers. We are in the process of optimizing and reimagining our quant platform to keep pace with our expanding business. To support our rapid growth, we are seeking a talented Trading & Simulator Engineer to join our technology team and help build the next generation of our firm-wide backtesting platform. This is a high priority initiative.
As a Trading & Simulator Engineer, you will work closely with quantitative researchers and Senior Management to design, develop, and optimize cutting-edge high-performance systems for algorithmic trading. Your responsibilities will include building and maintaining the core infrastructure for trading simulations, data pipelines, and low-latency execution platforms. The ideal candidate will have a strong background in Complex systems-level design & programming in Python and/or C++, and experience in creating scalable, low-latency, high-throughput systems.
Responsibilities
- Design, build, and maintain greenfield infrastructure for quantitative research, backtesting, and strategy deployment, leveraging the latest and most advanced technologies, tools, and frameworks to develop scalable, high-performance systems.
- Collaborate closely with quantitative researchers and senior management to develop innovative technical solutions that enhance research productivity, backtesting accuracy, and trading performance, while continuously optimizing infrastructure for large-scale data processing and complex model computations.
- Develop and automate data pipelines, research tools, and model deployment workflows using best-in-class, cutting-edge technologies, ensuring efficient data access, seamless integration with trading systems, and reliable support for researchers and traders.
- Degree in Computer Science, or a related field, 2+ years of experience writing production-quality code in Python or C++ (C++ 17/20), with a deep understanding of data structures, algorithms, concurrency patterns, and numeric processing
- Experience designing, implementing, and optimizing low-latency and high-throughput systems.
- Experience with Distributed Systems
- Experience in alpha/strategy research infrastructure or data pipeline development is a plus
- 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, CT and New York City Offices.
The base salary range is $175,000 to $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.
Trexquant is an Equal Opportunity Employer
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