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# C++ Trading & Simulator Engineer

- **Company:** Trexquant Investment
- **Location:** Stamford, CT, United States
- **Experience:** Experienced
- **Salary:** $175,000.0 - $200,000.0
- **Contract:** Permanent contract
- **Skills:** Algorithmic Trading, Big Data, C++ (Programming Language), Extract Transform Load (ETL), Data Structures, Python (Programming Language), Concurrency, Information Technology, Low Latency, Data Pipelines
- **Published:** July 17, 2026
- **Apply:** https://www.dice.com/job-detail/d76f1118-1b72-4e83-9723-dc85a498a8f9

## About the Role

* A degree in Computer Science, Engineering, Mathematics, or a related field, 2+ years of experience writing production-quality code in C++ (C++ 17/20) with a deep understanding of data structures, algorithms, concurrency patterns, and numeric processing
 * Experience designing, implementing, and optimizing low-latency and high-throughput systems, particularly for financial applications.
 * Experience with Python programming is a plus.
 * Experience in alpha/strategy research infrastructure or data pipeline development is a big plus

## Description

As a C++ Trading & Simulator Engineer, you will work closely with quantitative researchers and traders to design, develop, and optimize high-performance systems for algorithmic trading. Your responsibilities will include building and maintaining the core infrastructure for trading simulations, data pipelines, and low-latency execution platforms. The ideal candidate will have a strong background in C++ development, and experience in creating scalable, low-latency, high-throughput systems., * Design, build, and maintain the infrastructure for quantitative research, backtesting, and strategy deployment, including data pipelines, computation engines, and integration with trading systems.

 * Continuously optimize the infrastructure to support large-scale data processing and complex model computations.
 * Develop and optimize data loading and transformation pipelines to ensure efficient access to high-quality data for analysis and model development.
 * Create tools and automation scripts to streamline research workflows, including model training, evaluation, and deployment.
 * Collaborate closely with quantitative researchers and traders to understand their needs and deliver technical solutions that enhance research productivity, backtesting accuracy, and trading performance.
 * Provide ongoing support to researchers and traders, ensuring clear documentation for tools, systems, and processes.


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