AI Engineer, Trading Ops & Management

📋 Description

• Manage the end-to-end lifecycle of trades across multi-asset classes.
• Develop agentic AI workflows using Python (ML) and MLOps tools to automate manual operations and
• Perform daily P&L attribution and explain variance by decomposing market moves, Greeks, and new
• Leverage AI/ML frameworks (e.g., OpenAI API, LangChain, or local LLMs) to build intelligent agents
• Ensure data integrity across trading systems, middle-office platforms, and downstream finance
• Use AI tools to build reporting and analyses on trading performance and perform adhoc business

🎯 Requirements

• 3+ years in front-office operations, quant development, or a blend of risk management and systems
• Expert proficiency in Python (for AI/ML) and strong SQL skills.
• Experience building agentic AI workflows is a significant advantage.
• Good understanding of P&L attribution, financial controls, market risk indicators (Greeks
• A systems-thinking approach to operations—treating every manual task as a bug that needs an
• Ability to thrive in a high-intensity environment requiring extended hours when necessary to meet