Remote Quantitative Developer – Fintech Low-Latency Systems

Bright Vision Technologies

Artesia, Cerritos (CA, CA)

Remote

USD 75.000 - 100.000

Vollzeit

Vor 4 Tagen
Sei unter den ersten Bewerbenden

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Zusammenfassung

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 meeting strict performance, accuracy, and operational requirements.

The role partners with quants and traders to deliver robust solutions. Candidates should have strong software engineering skills and deep knowledge of financial markets, instruments, and risk

Qualifikationen

  • Bachelor’s or Master’s degree in CS, math, physics, or related quantitative field.
  • 6+ years software engineering experience, fintech preferred.
  • Strong coding skills in C++, Java, or Python (multiple preferred).
  • Hands-on experience with low-latency, high-throughput systems and market data.

Aufgaben

  • Translate mathematical models into production-quality software for fintech applications.
  • Develop low-latency, high-reliability trading, risk, and analytics systems.
  • Collaborate with quants and traders; participate in code and design reviews.

Kenntnisse

C++
Java
Python
Low-latency systems
Financial markets
Concurrency
Debugging
Documentation

Ausbildung

Bachelor’s or Master’s degree in Computer Science, Mathematics, Physics, or related quantitative discipline

Tools

FIX protocol
QuantLib
kdb+/q
GPU pricing

Jobbeschreibung

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 meeting strict performance, accuracy, and operational requirements.

The role partners with quants and traders to deliver robust solutions. Candidates should have strong software engineering skills and deep knowledge of financial markets, instruments, and risk

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