Quant Developer (FinTech)

Bright Vision TechnologiesTroy, MI
$89,000 - $112,000Remote

About The Position

We are seeking an experienced Quant Developer (FinTech) 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. In this role you will work closely with cross-functional partners — product, design, engineering, operations, and business stakeholders — to translate ambiguous requirements into well-engineered solutions, and 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.

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 (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 closely with quants and traders to translate mathematical models into production-quality software.
  • Meet 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.
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