Remote Quantitative Engineer in Fintech (Low-Latency)

Visa Hunt; United States; On-site; USD 150,000 - 185,000; Full time

Job summary

Bright Vision Technologies in the United States is seeking an experienced Quantitative Engineer to build low-latency trading, risk, and analytics systems for fintech applications. In this role you will collaborate with quants and traders to translate mathematical models into production-quality software meeting strict performance and reliability standards.

The successful candidate will combine strong software engineering with quantitative fundamentals, work with cross-functional partners, and

Qualifications

• Bachelor’s or Master’s in CS, Math, Physics, or related quantitative discipline.
• 6+ years of software engineering experience in fintech.
• Strong programming in C++, Java, or Python (preferably more than one).
• Solid grounding in financial markets, instruments, and risk management.
• Hands-on experience building low-latency, high-throughput systems.
• Experience with market data systems and FIX protocol implementations.
• Strong debugging, profiling, and performance-tuning skills.
• Excellent communication and documentation skills.

Skills

C++

Java

Python

Low-latency

High-throughput

Fintech domain

Concurrency

Risk & P&L

Education

BSc/MSc CS/Math/Physics

Tools

FIX protocol

QuantLib

KDB+/Q

GPU pricing

Cloud-native arch

Job description

Bright Vision Technologies in the United States is seeking an experienced Quantitative Engineer to build low-latency trading, risk, and analytics systems for fintech applications. In this role you will collaborate with quants and traders to translate mathematical models into production-quality software meeting strict performance and reliability standards.

The successful candidate will combine strong software engineering with quantitative fundamentals, work with cross-functional partners, and