Remote Quant Developer – FinTech, Low-Latency Trading

Bright Vision Technologies

Hoffman Estates (IL)

Remote

USD 89,000 - 112,000

Full time

4 days ago
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Benefits offered by this job

Remote work (US)
Career growth opportunities

Job summary

Bright Vision Technologies is seeking an experienced Quant Developer (FinTech) to build low-latency trading, risk, and analytics systems for fintech applications. You will translate mathematical models into production-quality software, collaborating with quants and traders to meet performance and accuracy requirements.

The ideal candidate has 7+ years of software engineering experience in fintech, strong skills in C++, Java, or Python, and a solid understanding of financial markets and risk

Qualifications

  • Bachelor’s or Master’s degree in a quantitative discipline.
  • 7+ years of software engineering experience, fintech preferred.
  • Strong programming in C++, Java, or Python (multi-language preferred).
  • Solid understanding of financial markets, instruments, and risk management.
  • Experience building low-latency, high-throughput systems.

Responsibilities

  • Build low-latency, high-reliability trading, risk, and analytics systems.
  • Translate mathematical models into production-quality software.
  • Collaborate with quants and traders to meet performance targets.
  • Mentor junior engineers and contribute to design and code reviews.

Skills

C++
Java
Python
Low-latency systems
High-throughput systems
Financial markets
Risk attribution
Concurrency
Communication

Education

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

Tools

FIX protocol
QuantLib
GPU pricing (bonus)

Job description

Bright Vision Technologies is seeking an experienced Quant Developer (FinTech) to build low-latency trading, risk, and analytics systems for fintech applications. You will translate mathematical models into production-quality software, collaborating with quants and traders to meet performance and accuracy requirements.

The ideal candidate has 7+ years of software engineering experience in fintech, strong skills in C++, Java, or Python, and a solid understanding of financial markets and risk

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