T

Trexquant

Quantitative trading via ML models

C++ Software Engineer

Backend EngineeringUpdated on Nov 13
Full-time

About the Job

Requirements

  • A degree in Computer Science or a related field and 1–3+ years of software engineering experience, or equivalent experience through advanced academic research (MS/PhD).
  • Strong proficiency in modern C++ (C++17/20/23), including data structures, algorithms, memory management, multithreading, and concurrency.
  • Ability to write efficient, production-quality C++ code, emphasizing execution speed and memory optimization.
  • Experience designing and developing distributed systems, with a solid understanding of networking fundamentals.
  • Experience developing software in a Linux environment.

Responsibilities

  • Design, develop, and maintain high-performance C++ infrastructure supporting trading systems, including order management systems (OMS), market data, and data platforms.
  • Build and optimize scalable, distributed systems focused on execution speed, memory efficiency, reliability, and throughput.
  • Collaborate with engineering teams and quantitative researchers to develop technical solutions, improve existing systems, and contribute to infrastructure initiatives across the firm's trading platform.

Desired Qualifications

  • Experience with trading systems, market data, or financial technology is a plus, but not required.

About the Company

Trexquant

Quantitative trading via ML models

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.

Company size
51-200
Company stage
Not listed
Total funding
Not listed
Headquarters
Stamford, CT
Founded
2012

Recently Posted Jobs

Explore more opportunities at Trexquant

See more jobs