Remote Quantitative Software Engineer (FinTech, Low-Latency)

Bright Vision Technologies; Sammamish (WA); On-site; USD 100,000 - 150,000; Full time

Job summary

Bright Vision Technologies is seeking a seasoned Quantitative Developer to build low-latency trading, risk, and analytics systems for fintech applications.

You will translate mathematical models into production-quality software, collaborate with quants and traders, and drive code quality through reviews and mentoring. The role emphasizes performance, reliability, and strong engineering discipline in a fast-paced environment.

Qualifications

• Six or more years of software engineering experience, with fintech focus.
• Strong programming skills in C++, Java, or Python (preferably more than one).
• Hands-on experience building low-latency, high-throughput systems.
• Experience with market data systems and FIX protocol implementations.
• Solid grounding in financial markets, instruments, and basic quantitative methods.

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 testing against analytical benchmarks.
• Implement risk engines, P&L attribution, scenario analysis, and stress-testing tools.
• Profile and optimize critical-path code for latency and throughput with data-driven validation.
• Build backtesting and simulation infrastructure for strategy evaluation.
• Collaborate with quants, traders, and risk officers to refine models and tooling.
• Ensure regulatory/compliance reporting workflows are auditable and reproducible.

Skills

C++

Java

Python

Communication

Documentation

Education

Bachelor’s or Master’s degree relevant field

Tools

FIX protocol

Market data systems

QuantLib (derivatives pricing)

Job description

Bright Vision Technologies is seeking a seasoned Quantitative Developer to build low-latency trading, risk, and analytics systems for fintech applications.

You will translate mathematical models into production-quality software, collaborate with quants and traders, and drive code quality through reviews and mentoring. The role emphasizes performance, reliability, and strong engineering discipline in a fast-paced environment.