Remote Quant Developer - FinTech (Low-Latency Trading)

Socket.dev; Ann Arbor (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 trading, risk, and analytics systems for fintech applications. You will partner with quants and traders to translate mathematical models into production-grade software meeting strict performance and operational requirements.

The ideal candidate combines strong software engineering with quantitative expertise and deep knowledge of financial markets, instruments, and risk management.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Mathematics, Physics, or a related quantitative discipline.
• 7+ years of software engineering experience in fintech.
• Strong programming 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.
• Partner with quants and traders to translate models into production-quality software.
• Raise the bar through code/design reviews and mentorship of junior engineers.
• Collaborate with product, design, engineering, operations, and business stakeholders.

Skills

C++

Python

Java

Communication

Debugging

Education

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

Tools

FIX protocol

Market data systems

Job description

Bright Vision Technologies is seeking an experienced Quant Developer (FinTech) to build low-latency trading, risk, and analytics systems for fintech applications. You will partner with quants and traders to translate mathematical models into production-grade software meeting strict performance and operational requirements.

The ideal candidate combines strong software engineering with quantitative expertise and deep knowledge of financial markets, instruments, and risk management.