Senior Quant Developer - Fintech, Low-Latency (Remote)

Bright Vision Technologies

North Brunswick Township (NJ)

Remote

USD 100,000 - 150,000

Full time

4 days ago
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Job summary

Bright Vision Technologies is seeking an experienced Quant Developer to build low-latency trading, risk, and analytics systems for fintech applications. You will translate mathematical models into production-quality software that meets stringent performance and accuracy requirements.

You will collaborate with quants and traders to translate prototypes into robust, scalable implementations, design data pipelines for high-volume tick data, and develop backtesting and risk tools with full

Qualifications

  • Ten+ years of software engineering experience, fintech preferred.
  • Strong programming skills in C++, Java or Python.
  • Hands-on experience building low-latency, high-throughput systems.
  • Experience with market data systems and FIX protocol implementations.

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.
  • Implement risk engines, P&L attribution, and scenario analysis tools for traders and risk managers.
  • Profile and optimize critical-path code for latency and throughput.
  • Build backtesting and simulation infrastructure with reproducible results.
  • Collaborate with quants, traders, and risk officers to refine models and tooling.
  • Ensure regulatory and compliance reporting workflows and full observability.

Skills

C++
Java
Python
Low-latency
Quantitative methods
Communication skills

Education

Bachelors or Masters in CS/Math/Physics

Tools

FIX protocol
QuantLib

Job description

Bright Vision Technologies is seeking an experienced Quant Developer to build low-latency trading, risk, and analytics systems for fintech applications. You will translate mathematical models into production-quality software that meets stringent performance and accuracy requirements.

You will collaborate with quants and traders to translate prototypes into robust, scalable implementations, design data pipelines for high-volume tick data, and develop backtesting and risk tools with full

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