> Markdown version of [/jobs/ext/3617659-algorithmic-trading-developer](https://www.wearedevelopers.com/jobs/ext/3617659-algorithmic-trading-developer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Algorithmic Trading Developer - **Company:** Bright Vision Technologies - **Location:** Fishers, IN, United States (Remote available) - **Experience:** Expert - **Salary:** $100,000.0 - $150,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Algorithmic Trading, Business Analytics Applications, Application Performance Management, C++ (Programming Language), Cloud Engineering, Computer Programming, Financial Information EXchange, Python (Programming Language), Performance Tuning, Risk Management Information Systems, Software Engineering, Concurrency, Reliability of Systems, Low Latency - **Published:** October 8, 2026 - **Apply:** https://www.careerjet.com/jobad/usb9ac03dc38533629c2a32080591f79f8 ## About the Role * 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. ## Description 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., * 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.