Remote FinTech Quant Developer – Low-Latency Trading

Bright Vision Technologies; Novi (MI); On-site; USD 89,000 - 112,000; Full time

Job summary

Bright Vision Technologies is seeking an experienced Quant Developer (FinTech) to build low-latency, high-reliability trading, risk, and analytics systems for fintech applications.

You will translate mathematical models into production-quality software, collaborate with quants and traders, and ensure performance, accuracy, and operational standards. Strong software engineering plus quantitative background required; mentorship and design reviews expected.

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 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

• Build low-latency, high-reliability trading, risk, and analytics systems for fintech apps.
• Translate mathematical models into production-quality software.
• Collaborate with quants and traders to meet performance and accuracy targets.
• Mentor junior engineers and contribute to design and code reviews.

Skills

C++

Java

Python

Low-latency engineering

Financial instruments knowledge

Market data systems

Concurrency

Education

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

Tools

FIX protocol

QuantLib

kdb+/q

GPU acceleration

Job description

Bright Vision Technologies is seeking an experienced Quant Developer (FinTech) to build low-latency, high-reliability trading, risk, and analytics systems for fintech applications.

You will translate mathematical models into production-quality software, collaborate with quants and traders, and ensure performance, accuracy, and operational standards. Strong software engineering plus quantitative background required; mentorship and design reviews expected.