Remote Quantitative Engineer (Fintech, Low-Latency Systems)

Bright Vision Technologies; Chesterfield (MO); Remote; USD 150,000 - 185,000; Full time

Job summary

Bright Vision Technologies is seeking an experienced Quantitative Engineer to build low-latency, high-reliability systems for fintech applications.

The role partners with quants and traders to translate mathematical models into production software, with emphasis on performance, accuracy, and reliability. Strong software engineering and finance knowledge are required, with mentorship of peers and active code reviews. Remote US-based role with full-time direct W2.

Qualifications

• Bachelor’s or Master’s degree in a quantitative field such as CS, Math or Physics.
• Six+ years of software engineering, with fintech focus.
• Strong programming in C++, Java or Python (two or more).
• Solid grounding in financial markets, instruments, and 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.
• Excellent debugging, profiling, and performance tuning.

Responsibilities

• Build low-latency, high-reliability trading, risk, and analytics systems for fintech.
• Translate mathematical models into production-quality software meeting performance and accuracy requirements.
• Collaborate with quants, traders, and cross-functional partners to deliver engineered solutions.
• Contribute to code/design reviews and mentor junior engineers.

Skills

C++

Java

Python

Low latency

Fintech knowledge

Debugging

Education

Bachelor's or Master's in CS/Math/Physics

Tools

FIX protocol

kdb+/q

GPU acceleration

Job description

Bright Vision Technologies is seeking an experienced Quantitative Engineer to build low-latency, high-reliability systems for fintech applications.

The role partners with quants and traders to translate mathematical models into production software, with emphasis on performance, accuracy, and reliability. Strong software engineering and finance knowledge are required, with mentorship of peers and active code reviews. Remote US-based role with full-time direct W2.