Remote Quantitative Engineer - Low-Latency FinTech

Bright Vision Technologies

Chesterfield (MO)

Remote

USD 150,000 - 185,000

Full time

4 days ago

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Job summary

Bright Vision Technologies is seeking an experienced Quantitative Engineer to build low-latency trading, risk, and analytics systems for fintech applications. You will translate mathematical models into production-quality software that meets strict performance and accuracy requirements, collaborating with quants, traders, and cross-functional teams.

A strong software engineering foundation and solid quantitative knowledge are essential to contribute to production-grade solutions.

Qualifications

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.

Responsibilities

Translate mathematical models into production-quality software for fintech applications.
Collaborate with quants and traders to deliver low-latency systems.
Mentor junior engineers and contribute to design reviews and code quality.