Remote FinTech Quant Developer (Low-Latency)

Bright Vision Technologies; Woodbury (MN); Remote; USD 100,000 - 150,000; Full time

Job summary

Bright Vision Technologies is seeking an experienced Financial Software Engineer for a 100% remote, US-based role. The position focuses on building low-latency trading, risk, and analytics systems for fintech applications, partnering with quants and traders to translate models into production software.

The ideal candidate will have 6+ years of software engineering experience, strong skills in C++, Java, or Python, and a solid grounding in financial markets.

Qualifications

• Six or more years of software engineering experience, with significant fintech exposure.
• 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 debugging, profiling, and performance-tuning skills.

Responsibilities

• Design and implement low-latency trading, pricing, and risk systems in C++, Java, or Python.
• Translate quantitative models from prototypes into production-quality implementations.
• Build robust market data ingestion and normalization pipelines for high-volume tick data.
• Develop pricing libraries for derivatives and structured products with rigorous testing.
• Implement risk engines, P&L attribution systems, and scenario analysis tools.
• Profile and optimize critical-path code for latency and throughput.

Skills

C++

Java

Python

Low-latency design

Financial markets knowledge

Education

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

Tools

FIX protocol

Matlab

QuantLib

GPU-accelerated pricing

Job description

Bright Vision Technologies is seeking an experienced Financial Software Engineer for a 100% remote, US-based role. The position focuses on building low-latency trading, risk, and analytics systems for fintech applications, partnering with quants and traders to translate models into production software.

The ideal candidate will have 6+ years of software engineering experience, strong skills in C++, Java, or Python, and a solid grounding in financial markets.