Remote Quantitative Developer for Low-Latency Fintech

Bright Vision Technologies

Foster City (CA)

On-site

USD 75,000 - 100,000

Full time

5 days ago
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Job summary

Bright Vision Technologies is seeking a Quantitative Developer to design and implement low-latency trading, risk, and analytics systems for fintech applications. You will partner with quants and traders to translate complex models into production-ready software that meets strict performance and reliability requirements.

The ideal candidate has a strong software engineering background, 6+ years fintech experience, and deep knowledge of financial markets, instruments, and risk management.

Qualifications

  • 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.

Responsibilities

  • Build low-latency, high-throughput trading, risk, and analytics systems.
  • Partner with quants and traders to translate models into production software.
  • Ensure performance, accuracy, and operational reliability.
  • Mentor junior engineers and participate in code/design reviews.

Skills

C++
Java
Python
Low latency
Market data
FIX protocol
Concurrency
Performance tuning

Education

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

Tools

QuantLib
kdb+/q
GPU acceleration
Cloud-native architectures

Job description

Bright Vision Technologies is seeking a Quantitative Developer to design and implement low-latency trading, risk, and analytics systems for fintech applications. You will partner with quants and traders to translate complex models into production-ready software that meets strict performance and reliability requirements.

The ideal candidate has a strong software engineering background, 6+ years fintech experience, and deep knowledge of financial markets, instruments, and risk management.

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