Note: The job is a remote job and is open to candidates in USA. Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. The Quantitative Engineer will build low-latency, high-reliability trading, risk, and analytics systems for fintech applications, translate mathematical models into production-quality software, and collaborate with quants, traders, and cross-functional stakeholders. The role also includes code and design reviews and mentoring more junior engineers.
Responsibilities
- Build low-latency, high-reliability trading, risk, and analytics systems for fintech applications
- Partner closely with quants and traders to translate mathematical models into production-quality software that meets strict performance, accuracy, and operational requirements
- Work closely with cross-functional partners — product, design, engineering, operations, and business stakeholders — to translate ambiguous requirements into well-engineered solutions
- Raise the bar through code review, design review, and mentorship of more junior engineers
Skills
- 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
- 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
Benefits
- 100% remote work in the U.S.
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