AI Engineer, Trading Ops & Management

📋 Description

• Manage the end-to-end lifecycle of trades across multi-asset classes. Develop agentic AI workflows
• Perform daily P&L attribution and explain variance by decomposing market moves, Greeks, and new
• 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
• Intelligent Risk Management: Develop real-time, AI-driven risk models that use machine learning to
• Develop and maintain sophisticated risk reporting dashboards for the desk.

🎯 Requirements

• Experience: 3+ years in front-office operations, quant development, or a blend of risk management
• Technical Stack: Expert proficiency in Python (for AI/ML), and strong SQL skills. Experience
• Financial Acumen: Good understanding of P&L attribution, financial controls, market risk
• Problem Solving: A "systems-thinking" approach to operations—treating every manual task as a bug
• Capacity: Ability to thrive in a high-intensity environment requiring extended hours when necessary