Software Engineer - Early Career (USA) job opportunity at Trexquant Investment.



Date2026-04-28T20:40:44.522Z bot
Trexquant Investment Software Engineer - Early Career (USA)
Experience: General
Pattern: Full-time
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degreeGeneral
loacation Stamford, United States Of America
loacation Stamford....United States Of America
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Trexquant is a growing systematic fund at the forefront of quantitative finance, with a team of world-class researchers and engineers. As we continue to expand our trading operations, we are investing heavily in building the next generation of our quantitative research & trading platform. We are seeking an Early Career Software Engineer with strong programming skills to join our engineering team. In this role, you will work closely with experienced engineers and quantitative researchers to  develop the infrastructure that powers systematic trading, including data pipelines, back testing tools, and execution systems. You will have the opportunity to contribute to greenfield development projects, where you’ll help build new systems from the ground up, driving innovation and scalability in our technology stack. Responsibilities Full lifecycle development of low-latency, high-throughput research and trading systems using C++, C, Java, or Rust  Build and optimize data processing pipelines to ensure reliable access to large, high-quality datasets. Assist in developing tools for back testing, model training, and strategy evaluation. Collaborate with researchers and traders to deliver technical solutions that improve research productivity and trading performance. Participate in code reviews, testing, and documentation to maintain high-quality standards. Stay abreast of emerging technologies, tools, and best practices, bringing innovative ideas to continuously improve our systems. BS/MS degree in Computer Science, or a related STEM field Strong knowledge of data structures, algorithms, and object-oriented programming. Proficiency in one or more programming languages: C++, C, Python, Java, or Rust. Familiarity with Linux environments  Excellent problem-solving skills and ability to learn quickly in a collaborative team setting.

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