Application Security Consultant

Job Summary

We are 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, low-latency systems, market data, financial markets, and quantitative development, with experience building scalable, production-grade trading platforms.

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

Required 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

Preferred Qualifications

• Experience with QuantLib, kdb+/q, or GPU-accelerated computing
• Familiarity with cloud-native fintech platforms or advanced quantitative methods

Pay

$100,000–$150,000 annually

Schedule

100% Remote (Continental United States)

Benefits

Full-time, Direct W2