Low-Latency C++ Trading & Simulator Engineer

Trexquant Investment; Stamford, Northern (CT, KY); Hybrid; USD 175,000 - 200,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Weekly company meals

Job summary

Trexquant is seeking a C++ Trading & Simulator Engineer to join its technology team in Stamford, CT (and NYC). You will design, build, and optimize high-performance infrastructure for algorithmic trading, backtesting, and data pipelines, collaborating with researchers and traders.

You will work on low-latency, high-throughput systems, contribute to scalable infrastructure, and help deliver tools for research workflows and deployment. Competitive base salary, bonus potential, and full benefits.

Qualifications

• Degree in Computer Science, Engineering, Mathematics, or related field.
• 2+ years of production-quality C++ (C++17/20) experience with data structures, algorithms, concurrency, and numeric processing.
• Experience designing low-latency, high-throughput financial systems.
• Experience with Python is a plus.

Responsibilities

• Design, build, and maintain infrastructure for quantitative research, backtesting, and strategy deployment, including data pipelines and integration with trading systems.
• Continuously optimize infrastructure for large-scale data processing and complex model computations.
• Develop and optimize data loading and transformation pipelines for high-quality data access.
• Create tools and automation scripts to streamline research workflows (model training, evaluation, deployment).
• Collaborate with researchers and traders to deliver solutions that improve research productivity and trading performance.
• Provide documentation for tools, systems, and processes.

Skills

C++

Low latency

High throughput

Data pipelines

Concurrency

Python

Education

Bachelor's degree in Computer Science, Engineering, or Mathematics

Tools

Python

Job description

Trexquant is seeking a C++ Trading & Simulator Engineer to join its technology team in Stamford, CT (and NYC). You will design, build, and optimize high-performance infrastructure for algorithmic trading, backtesting, and data pipelines, collaborating with researchers and traders.

You will work on low-latency, high-throughput systems, contribute to scalable infrastructure, and help deliver tools for research workflows and deployment. Competitive base salary, bonus potential, and full benefits.