Bright Vision Technologies · United States
Skills: Python, Java
Bright Vision Technologies(https://himalayas.app/companies/bright-vision-technologies) is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.
Job Title: Algorithmic Trading Developer Location: 100% Remote (Continental United States) Position Type: Full-time, Direct W2 Salary Range: $100,000–$150,000 Annually Experience Required: 6+ Years
Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position.
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.
Key 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.
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