Quantitative Developer
Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.
Location: 100% Remote (U.S.)
Position Type: Full-time, Direct W2
Salary Range: $75,000–$100,000 Annually
Experience Required: 6+ years
U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position.
About the Role
We are seeking an experienced Quantitative Developer to build low-latency, high-reliability trading, risk, and analytics systems for fintech applications. In this role, you will partner closely with quants and traders to translate mathematical models into production-quality 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, instruments, and risk management practices.
You will work closely with cross-functional partners — product, design, engineering, operations, and business stakeholders — to translate ambiguous requirements into well-engineered solutions. You will be expected to raise the bar through code review, design review, and mentorship of more junior engineers. The successful candidate brings strong engineering discipline, a clear communication style, and a track record of shipping meaningful work that holds up well in production.
Responsibilities
- Build low-latency, high-reliability trading, risk, and analytics systems for fintech applications
- Translate mathematical models into production-quality software
- Collaborate with quants, traders, and cross-functional teams to meet performance, accuracy, and operational requirements
- Engage in code review, design review, and mentorship of junior engineers
- Debug, profile, and performance-tune systems
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 (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
Preferred Qualifications
- Experience with derivatives pricing libraries (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
Pay
$75,000–$100,000 Annually