Remote Quantitative Developer - Low-Latency FinTech

Bright Vision Technologies

South Jordan, Draper (UT, UT)

Remote

USD 100,000 - 150,000

Full time

4 days ago
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Job summary

Bright Vision Technologies is seeking an experienced Quantitative Developer to build low-latency, high-reliability trading, risk, and analytics systems for fintech applications. You will partner with quants and traders to translate models into production-quality software that meets performance and operational requirements.

The ideal candidate will combine strong software engineering with quantitative fundamentals and understanding 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+ years of software engineering experience, with significant fintech exposure.
  • 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 HPC patterns and concurrency.
  • Excellent debugging, profiling, and performance-tuning skills.
  • Strong communication and documentation skills.

Responsibilities

  • Design and implement low-latency trading, pricing, and risk systems in C++, Java, or Python.
  • Translate quantitative models from prototypes into production-quality implementations.
  • Build robust market data ingestion and normalization pipelines for high-volume tick data.
  • Develop pricing libraries for derivatives and structured products, with rigorous testing against benchmarks.
  • Implement risk engines, P&L attribution systems, scenario analysis tools, and stress-testing capabilities.
  • Profile and optimize critical-path code for latency and throughput with data-driven validation.
  • Build backtesting and simulation infrastructure for strategy evaluation on historical data.
  • Collaborate with quants, traders, and risk officers to refine models and tooling.
  • Implement regulatory and compliance reporting workflows where applicable.
  • Ensure full observability with logging, metrics, and audit trails.
  • Lead incident response for trading-critical issues with calm and rigor.
  • Maintain comprehensive technical documentation to onboard new engineers over time.
  • Mentor junior engineers and contribute to engineering culture.

Skills

C++
Java
Python
Low-latency systems
Financial markets

Education

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

Tools

FIX protocol
KDB+/Q
GPU-acceleration
Cloud-native architectures

Job description

Bright Vision Technologies is seeking an experienced Quantitative Developer to build low-latency, high-reliability trading, risk, and analytics systems for fintech applications. You will partner with quants and traders to translate models into production-quality software that meets performance and operational requirements.

The ideal candidate will combine strong software engineering with quantitative fundamentals and understanding of financial markets, instruments, and risk management.

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