Remote Fintech Quant Engineer - Low-Latency Systems

Remote Jobs; United States; Remote; USD 150,000 - 185,000; Full time

Job summary

Bright Vision Technologies is seeking a Quantitative Engineer to build low-latency trading, risk, and analytics systems for fintech applications. You will partner with quants and traders to translate models into production-quality software with strict performance and accuracy standards.

The ideal candidate has 6+ years in software engineering within fintech, strong skills in C++, Java, or Python, and deep knowledge of financial markets, instruments, and risk management.

Qualifications

• Bachelor’s or Master’s degree in a quantitative field.
• 6+ years of software engineering experience in fintech.
• Strong programming skills in C++, Java, or Python.
• Solid grounding in financial markets, instruments, and 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 meeting performance and accuracy requirements.
• Collaborate with quants, traders, and cross-functional partners to clarify requirements and deliver robust solutions.
• Lead code/design reviews and mentor junior engineers to raise engineering quality.

Skills

C++/Java/Python

Low-latency systems

Market data systems

FIX protocol

Risk attribution

P&L attribution

Concurrency

Debugging

Documentation

Communication

Education

Bachelor’s or Master’s degree in Computer Science/Mathematics/Physics or related quantitative discipline

Job description

Bright Vision Technologies is seeking a Quantitative Engineer to build low-latency trading, risk, and analytics systems for fintech applications. You will partner with quants and traders to translate models into production-quality software with strict performance and accuracy standards.

The ideal candidate has 6+ years in software engineering within fintech, strong skills in C++, Java, or Python, and deep knowledge of financial markets, instruments, and risk management.