Quantitative Developer

Bright Vision Technologies • San Diego, CA

1d • $75,000 - $100,000 • Remote

About The Position

Bright Vision Technologies is seeking an experienced Quantitative Developer to build low-latency, high-reliability trading, risk, and analytics systems for fintech applications. The developer will work closely with quants and traders to turn mathematical models into production-quality software that meets demanding performance, accuracy, and operational requirements. The role also collaborates with product, design, engineering, operations, and business stakeholders to clarify ambiguous requirements and deliver well-engineered solutions. The successful candidate is expected to contribute to code and design reviews and mentor more junior engineers, while bringing strong engineering discipline, clear communication, and a record of delivering reliable production software.

This is a full-time, direct W2 position that is 100% remote within the United States. The annual salary range is $75,000–$100,000. Candidates must have at least six years of experience. U.S. citizens, green card holders, EAD holders, and H-1B transfer candidates are encouraged to apply; the employer cannot sponsor new H-1B visa petitions for this position.

Requirements

• 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; proficiency in more than one is preferred.
• 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.

Nice To Haves

• Experience with derivatives pricing libraries such as QuantLib.
• Familiarity with kdb+/q or similar columnar tick databases.
• Exposure to GPU-accelerated pricing or risk computation.
• Experience with cloud-native fintech architectures.
• Advanced degree in a quantitative discipline.

Responsibilities

• Build low-latency, high-reliability trading, risk, and analytics systems for fintech applications.
• Translate mathematical models into production-quality software that meets performance, accuracy, and operational requirements.
• Collaborate with quants and traders and with product, design, engineering, operations, and business stakeholders.
• Translate ambiguous requirements into well-engineered solutions.
• Participate in code reviews and design reviews.
• Mentor more junior engineers.
• Debug, profile, and tune software performance.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior