Remote Low-Latency Algo Trading Engineer

Bright Vision Technologies; Carmel (IN); Remote; USD 100,000 - 150,000; Full time

Benefits offered by this job

Equal Opportunity Employer

Job summary

Bright Vision Technologies in the United States is seeking an experienced Algorithmic Trading Developer to build high-performance trading, pricing, and risk management systems for fintech applications. The ideal candidate will have expertise in C++, Java, or Python, with a focus on low-latency design, market data handling, and production-grade reliability.

You will design data pipelines, backtesting tools, and scalable trading platforms, collaborating with quants and engineers.

Qualifications

• 6+ years of software engineering experience, preferably in fintech.
• Strong programming skills in C++, Java, or Python.
• Experience with low-latency systems, market data, FIX protocol, and financial markets.
• Strong knowledge of risk management, performance optimization, and concurrency.

Responsibilities

• Design and develop low-latency trading, pricing, and risk systems.
• Build market data pipelines, backtesting frameworks, and trading tools.
• Optimize application performance, latency, and throughput.
• Develop risk, P& L, and analytics solutions.
• Collaborate with quants, traders, and engineering teams.
• Troubleshoot production issues and maintain system reliability.

Skills

C++

Java

Python

Low-latency

Market data

FIX protocol

Risk management

Performance optimization

Concurrency

Tools

QuantLib

kdb+/q

GPU acceleration

Job description

Bright Vision Technologies in the United States is seeking an experienced Algorithmic Trading Developer to build high-performance trading, pricing, and risk management systems for fintech applications. The ideal candidate will have expertise in C++, Java, or Python, with a focus on low-latency design, market data handling, and production-grade reliability.

You will design data pipelines, backtesting tools, and scalable trading platforms, collaborating with quants and engineers.