Quantitative Engineer

Bright Vision Technologies•Frisco, TX
•$150,000 - $185,000•Remote

About The Position

Bright Vision Technologies is seeking an experienced Quantitative Engineer to build low-latency, high-reliability trading, risk, and analytics systems for fintech applications. The engineer will partner closely with quants and traders to translate mathematical models into production-quality software that meets strict performance, accuracy, and operational requirements. The role works with product, design, engineering, operations, and business stakeholders to turn ambiguous requirements into well-engineered solutions. The successful candidate will bring strong engineering discipline and communication skills, ship production-ready work, and raise engineering standards through code and design reviews and mentorship of more junior engineers.

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.

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.
  • Partner with quants and traders to translate mathematical models into production-quality software.
  • Collaborate with product, design, engineering, operations, and business stakeholders to translate ambiguous requirements into well-engineered solutions.
  • Contribute to code reviews and design reviews.
  • Mentor more junior engineers.

Benefits

  • Career growth potential.
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