Trexquant Investment, a growing systematic fund at the forefront of quantitative finance, is seeking an Early Career Software Engineer to join their engineering team. The role offers an exciting opportunity to work with world-class researchers and engineers while contributing to the next generation of their quantitative research & trading platform.
The position involves developing critical infrastructure for systematic trading, including data pipelines, back testing tools, and execution systems. You'll be working on greenfield development projects, building new systems from the ground up, and driving innovation in their technology stack. The role requires expertise in languages like C++, Java, or Rust for developing low-latency, high-throughput systems.
As part of the team, you'll collaborate closely with experienced engineers and quantitative researchers, participating in the full software development lifecycle. Your responsibilities will include building and optimizing data processing pipelines, developing tools for back testing and model training, and maintaining high-quality standards through code reviews and documentation.
The ideal candidate should have a BS/MS in Computer Science or related STEM field, strong programming skills, and excellent problem-solving abilities. The company offers a competitive compensation package, including comprehensive health benefits, pre-tax commuter benefits, and weekly company meals. Working at Trexquant provides an opportunity to be at the cutting edge of quantitative finance while working in a collaborative, casual, and friendly environment.
This role is perfect for early-career software engineers who are passionate about financial technology and want to make a significant impact in the systematic trading space. You'll gain invaluable experience working with large-scale systems and complex financial data while contributing to the company's continued growth and success.