Remote Quantitative Developer - Low-Latency FinTech

Bright Vision Technologies

United States

Remote

USD 75,000 - 100,000

Full time

3 days ago
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Job summary

Bright Vision Technologies is seeking an experienced Quantitative Developer to build low-latency trading, risk, and analytics systems for fintech applications.

You will translate mathematical models into production-quality software, working with quants and traders to meet performance, accuracy, and operational requirements. Strong engineering discipline and clear communication are essential.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Mathematics, Physics, or related quantitative discipline.
  • Six+ years of software engineering experience, with fintech focus.
  • 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.

Responsibilities

  • Translate mathematical models into production-quality software.
  • Collaborate with quants and traders to deliver reliable fintech systems.
  • Mentor junior engineers and contribute to code and design reviews.
  • Maintain high standards for performance, accuracy, and operational reliability.

Skills

Software engineering
Fintech experience
Low-latency systems
Concurrency
C++, Java, Python
Quantitative understanding

Education

Bachelor's or Master's in CS/Math/Physics

Tools

FIX protocol
Market data systems

Job description

Bright Vision Technologies is seeking an experienced Quantitative Developer to build low-latency trading, risk, and analytics systems for fintech applications.

You will translate mathematical models into production-quality software, working with quants and traders to meet performance, accuracy, and operational requirements. Strong engineering discipline and clear communication are essential.

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