Remote Quantitative Developer – Low-Latency Fintech

Bright Vision Technologies; United States; Remote; USD 75.000 - 100.000; Vollzeit

Zusammenfassung

Bright Vision Technologies is seeking an experienced Quantitative Developer to build low-latency trading, risk, and analytics systems for fintech applications. This role partners with quants and traders to translate mathematical models into production-quality software that meets stringent performance and accuracy requirements.

The successful candidate combines strong software engineering with quantitative finance knowledge and will collaborate with product, design, and operations to translate

Qualifikationen

• 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.

Aufgaben

• Develop low-latency, high-throughput fintech systems.
• Collaborate with quants and traders to translate models into production software.
• Mentor junior engineers and contribute to code/design reviews.

Kenntnisse

C++

Java

Python

Low-latency systems

Market data systems

FIX protocol

Risk attribution

Concurrency

Debugging

Documentation

Ausbildung

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

Tools

QuantLib

kdb+/q

GPU pricing

Jobbeschreibung

Bright Vision Technologies is seeking an experienced Quantitative Developer to build low-latency trading, risk, and analytics systems for fintech applications. This role partners with quants and traders to translate mathematical models into production-quality software that meets stringent performance and accuracy requirements.

The successful candidate combines strong software engineering with quantitative finance knowledge and will collaborate with product, design, and operations to translate