Remote Quantitative Engineer - Fintech Low-Latency Trading

Bright Vision Technologies; Overland Park (KS); Remote; USD 150,000 - 185,000; Full time

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 partner closely with quants and traders to translate mathematical models into production-grade software, meeting strict performance, accuracy, and operational requirements. The role emphasizes code/design reviews and mentorship of junior engineers in a fast-paced environment.

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 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

• Build low-latency, high-reliability trading, risk, and analytics systems for fintech applications.
• Partner closely with quants and traders to translate mathematical models into production-quality software.
• Collaborate with cross-functional teams to translate ambiguous requirements into well-engineered solutions; mentor junior engineers.

Skills

C++

Java

Python

Low-latency

Fintech domain

Market data (FIX)

Debugging/Performance

Education

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

Tools

FIX protocol

Job description

Bright Vision Technologies is seeking an experienced Quantitative Engineer to build low-latency trading, risk, and analytics systems for fintech applications.

You will partner closely with quants and traders to translate mathematical models into production-grade software, meeting strict performance, accuracy, and operational requirements. The role emphasizes code/design reviews and mentorship of junior engineers in a fast-paced environment.