Lead Quantitative Engineer - Low-Latency FinTech (Remote)

Bright Vision Technologies; Flower Mound (TX); On-site; USD 150,000 - 185,000; Full time

Job summary

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

You will translate mathematical models into production-quality software, partnering with quants and traders to meet strict performance and operational requirements. Expect collaboration across product, design, engineering, operations, and business teams.

Qualifications

• Bachelor's or Master’s degree in Computer Science, Mathematics, Physics, or a related quantitative discipline.
• Six+ years of software engineering experience, with significant fintech exposure.
• 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 reliable, low-latency systems.
• Lead code and design reviews, mentor junior engineers, and raise engineering standards.

Skills

C++

Java/Python

Low-latency systems

Financial markets knowledge

FIX protocol

Concurrency

Debugging/Perf tuning

Communication

Education

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

Tools

QuantLib

kdb+/q

GPU pricing stacks

Job description

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

You will translate mathematical models into production-quality software, partnering with quants and traders to meet strict performance and operational requirements. Expect collaboration across product, design, engineering, operations, and business teams.