Remote Quant Developer - FinTech, Low-Latency Trading

United States Digital Space LLC; United States; Remote; 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 partner with quants and traders to translate mathematical models into production software that meets strict performance, accuracy, and operational requirements.

The ideal candidate will combine strong software engineering skills with solid quantitative fundamentals and deep familiarity with financial markets,

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 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

• Develop low-latency, high-throughput trading and analytics systems.
• Collaborate with quants and traders to implement mathematical models in production.
• Ensure systems meet performance, accuracy and operational requirements.

Skills

C++

Java

Python

Low-latency

Financial markets

Debugging

Education

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

Tools

FIX protocol

Market data systems

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 partner with quants and traders to translate mathematical models into production software that meets strict performance, accuracy, and operational requirements.

The ideal candidate will combine strong software engineering skills with solid quantitative fundamentals and deep familiarity with financial markets,