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# Quantitative Engineer

- **Company:** Bright Vision Technologies
- **Location:** Bedford, TX, United States (Remote available)
- **Experience:** Expert
- **Salary:** $150,000.0 - $185,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), C++ (Programming Language), Cloud Engineering, Profiling, Code Review, Computer Programming, Databases, Data Systems, Software Debugging, Financial Information EXchange, Python (Programming Language), Performance Tuning, Software Engineering, High Performance Computing, Information Technology, Low Latency
- **Published:** August 21, 2026
- **Apply:** https://www.careerjet.com/jobad/us2558288c8ce6246fe1427e6bb9476f36

## About the Role

* Bachelor's or Master's degree in Computer Science, Mathematics, Physics, or a related quantitative discipline.
 * Six or more years of software engineering experience, with significant time in fintech.
 * Strong programming skills in C++, Java, or Python (preferably more than one).
 * Solid grounding in financial markets, instruments, and basic quantitative methods.
 * Hands-on experience building low-latency, high-throughput systems.
 * Experience with market data systems and FIX protocol implementations.
 * Strong understanding of risk and P&L attribution.
 * Experience with high-performance computing patterns and concurrency.
 * Excellent debugging, profiling, and performance-tuning skills.
 * Strong communication and documentation skills., * Experience with derivatives pricing libraries (QuantLib).
 * Familiarity with kdb+/q or similar columnar tick databases.
 * Exposure to GPU-accelerated pricing or risk computation.
 * Experience with cloud-native fintech architectures.
 * Advanced degree in a quantitative discipline.

## Description

We are seeking an experienced Quantitative Engineer to build low-latency, high-reliability trading, risk, and analytics systems for fintech applications. In this role you will partner closely with quants and traders to translate mathematical models into production-quality software that meets strict performance, accuracy, and operational requirements. The ideal candidate will combine strong software engineering skills with solid quantitative fundamentals and deep familiarity with financial markets, instruments, and risk management practices. In this role you will work closely with cross-functional partners - product, design, engineering, operations, and business stakeholders - to translate ambiguous requirements into well-engineered solutions, and will be expected to raise the bar through code review, design review, and mentorship of more junior engineers. The successful candidate brings strong engineering discipline, a clear communication style, and a track record of shipping meaningful
work that holds up well in production.


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