Remote Quantitative Engineer - Fintech Low-Latency Systems

Bright Vision Technologies; United States; Remote; USD 150,000 - 185,000; Full time

Job summary

Bright Vision Technologies is seeking an experienced Quantitative Engineer to develop low-latency trading, risk, and analytics systems for fintech applications. You will translate models into production-grade software, working with quants and traders to meet strict performance and reliability requirements.

The role requires strong software engineering skills, deep quantitative fundamentals, and familiarity with financial markets.

Qualifications

• Bachelor's or Master's degree in Computer Science, Mathematics, Physics, or related quantitative discipline.
• 6+ years of software engineering experience, preferably in fintech.
• Strong programming skills in C++, Java, or Python (preferably more than one).
• Solid grounding in financial markets, instruments, and quantitative methods.
• Hands-on experience building low-latency, high-throughput systems.

Responsibilities

• Build low-latency, high-reliability trading, risk, and analytics systems for fintech applications.
• Translate mathematical models into production-quality software meeting performance and operational requirements.
• Collaborate with quants, traders, product, design, and engineers to deliver robust solutions.
• Mentor junior engineers and contribute to design and code reviews.

Job description

Bright Vision Technologies is seeking an experienced Quantitative Engineer to develop low-latency trading, risk, and analytics systems for fintech applications. You will translate models into production-grade software, working with quants and traders to meet strict performance and reliability requirements.

The role requires strong software engineering skills, deep quantitative fundamentals, and familiarity with financial markets.