C++ Software Engineer
Trexquant
C++ Software Engineer
Trexquant
Quantitative trading via ML models
Trexquant Investment · Stamford, United States (Hybrid) · Full-time · Posted 2026-11-02
Workplace: hybrid
Department: Technology
Trexquant is a growing systematic fund at the forefront of quantitative finance, with a core team of highly accomplished researchers and engineers. We are continuously optimizing and reimagining our trading infrastructure to keep pace with our expanding business. To support our rapid growth, we are seeking a talented C++ Software Engineer to join our technology team and help build and enhance the systems that power our quantitative trading platform.
As a C++ Software Engineer, you will work closely with our engineering teams to design, develop, and optimize high-performance trading systems infrastructure. Your responsibilities will span multiple greenfield areas, including order management systems (OMS), market data, trading infrastructure, and data platforms. The ideal candidate will have strong modern C++ fundamentals, experience with distributed systems, and a demonstrated ability to write performant, memory-efficient code.
Responsibilities
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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Trexquant is a quantitative finance firm that builds multi-asset portfolios using machine learning. It develops investment and research tools that ingest a wide range of data variables to create complex trading models and strategies, which in turn generate trading signals. These signals guide decisions across global markets. The product works by applying advanced machine learning to large datasets to create predictive models and rule-based strategies, which drive portfolio construction and trading actions through the firm’s platform. Trexquant differentiates itself by emphasizing the breadth of data it uses and the depth of machine-learning driven models to craft multi-asset portfolios, aiming to produce signals that outperform global market conditions. The company’s goal is to generate investment performance that beats benchmarks by using data-driven signals and diversified, multi-asset strategies.
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