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Join our team as Sr. Engineer in the systematic vol trading space. Lead the development of a cutting-edge options research and trading platform that directly influences our market position and drives pnl. Bridge the gap between development, research and trading teams to deliver technical solutions that give us a market edge.
Job Responsibility:
Develop, test, and maintain high-performance trading applications, backtesting tools, and libraries using Python, with a focus on volatility products
Work closely with traders to translate strategies into technical requirements, and with researchers to optimize the integration of models into live trading systems
Create and drive a technical roadmap developing strong, dependable, and easy-to-maintain code in accordance with established guidelines and industry norms
Participate in code reviews, provide constructive feedback, and contribute to continuous improvement within the team
Keep up-to-date with the latest advancements in trading technology, Python development, and related libraries and frameworks
Requirements:
Significant experience in working directly on a systematic trading desk
Options experience strongly preferred
Experience in an architect-level role
Hands-on experience with Python and proficiency in modern Python concepts such as asyncio
Experience designing and implementing systems capable of processing real-time market data at low latencies and integrating seamlessly with research pipelines
Experience designing and implementing high-performance and flexible research systems capable of hosting and processing terabytes of data on a computer cluster with GPU and tens of thousands CPU cores
Experience using numerical toolkits such as pandas and NumPy is preferred but not required
Nice to have:
Experience using numerical toolkits such as pandas and NumPy