Remote Quant Developer - FinTech Low-Latency Trading

Bright Vision Technologies; Rochester Hills (MI); On-site; USD 89,000 - 112,000; Full time

Job summary

Bright Vision Technologies is seeking an experienced Quant Developer (FinTech) for a 100% remote role in the U.S. You will build low-latency, high-reliability trading, risk, and analytics systems and work closely with quants and traders to translate models into production-quality software that meets strict performance, accuracy, and operational requirements.

The ideal candidate combines strong software engineering with solid quantitative fundamentals and deep familiarity with financial markets,

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.

Responsibilities

• Translate mathematical models into production-quality software that meets performance and reliability requirements.
• Collaborate with quants, traders, and cross-functional partners to translate ambiguous needs into robust solutions.
• Contribute to code and design reviews and mentor junior engineers to raise engineering standards.

Skills

C++

Java

Python

Low latency

Concurrency

Financial markets

FIX protocol

Education

BSc/MSc in CS/Math/Physics

Tools

QuantLib

kdb+/q

FIX protocol

Job description

Bright Vision Technologies is seeking an experienced Quant Developer (FinTech) for a 100% remote role in the U.S. You will build low-latency, high-reliability trading, risk, and analytics systems and work closely with quants and traders to translate models into production-quality software that meets strict performance, accuracy, and operational requirements.

The ideal candidate combines strong software engineering with solid quantitative fundamentals and deep familiarity with financial markets,