Remote Quantitative Engineer – Fintech Low-Latency Systems

Socket.dev; Austin (TX); On-site; USD 150,000 - 185,000; Full time

Job summary

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

In this role you will partner closely with quants and traders to translate mathematical models into production-quality software and will mentor engineers while raising the bar through code and

Qualifications

• Bachelor’s or Master’s degree in CS, Mathematics, Physics, or related quantitative discipline.
• Six or more years of software engineering experience, with fintech experience.
• Strong programming skills in C++, Java, or Python (preferably more than one).
• Solid grounding in financial markets, instruments, and 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.

Responsibilities

• Build low-latency, high-reliability trading, risk, and analytics systems for fintech applications.
• Translate mathematical models into production-quality software meeting performance and accuracy targets.
• Collaborate with quants and traders to implement requirements and improve systems.
• Mentor junior engineers and contribute to code/design reviews to raise engineering quality.

Skills

C++

Java

Python

Financial markets knowledge

Low-latency systems

Concurrency

Communication skills

Education

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

Tools

FIX protocol implementations

QuantLib

KDB+/Q

Job description

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

In this role you will partner closely with quants and traders to translate mathematical models into production-quality software and will mentor engineers while raising the bar through code and