Remote Quantitative Engineer — Fintech Low-Latency & Risk

Carbon Data Solutions; United States; Remote; USD 150,000 - 185,000; Full time

Job summary

Bright Vision Technologies is seeking an experienced Quantitative Engineer to build low-latency, high-reliability trading, risk, and analytics systems for fintech applications. You will translate mathematical models into production-grade software that meets strict performance, accuracy, and operational requirements, collaborating with quants, traders, product, design, and operations.

The role demands strong software engineering skills, quantitative fundamentals, and familiarity with financial

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

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

Skills

C++

Java

Python

Education

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

Job description

Bright Vision Technologies is seeking an experienced Quantitative Engineer to build low-latency, high-reliability trading, risk, and analytics systems for fintech applications. You will translate mathematical models into production-grade software that meets strict performance, accuracy, and operational requirements, collaborating with quants, traders, product, design, and operations.

The role demands strong software engineering skills, quantitative fundamentals, and familiarity with financial