AI Engineer Trading Ops & Management

Skills

About the Role

You will manage the end-to-end trade lifecycle across multiple asset classes while automating operational workflows and reconciliations with Python, machine learning, MLOps, and agentic AI tools. You will perform P&L attribution, explain variances, ensure data integrity across trading and finance systems, and create performance reporting and business analyses. You will also develop real-time AI-driven risk models, identify cross-market risks, and maintain risk dashboards.

Requirements

• 3+ years of experience in front-office operations, quant development, or risk management and systems architecture within a financial institution
• Expert Python proficiency for AI and machine learning
• Strong SQL skills
• Understanding of P&L attribution, financial controls, market risk indicators, financial markets, and products
• Ability to work in a high-intensity environment and extended hours when needed for global trading demands

Responsibilities

• Manage the end-to-end lifecycle of trades across multi-asset classes
• Develop agentic AI workflows to automate manual operations and reconciliations
• Perform daily P&L attribution and explain variance from market moves, Greeks, and new activity
• Build AI agents for trade-data anomaly detection and automated P&L-report commentary
• Ensure data integrity across trading systems, middle-office platforms, and finance ledgers
• Build trading-performance reporting and perform ad hoc business analysis
• Develop real-time AI-driven risk models to predict volatility and identify cross-market risks
• Develop and maintain risk reporting dashboards

Benefits

• Annual leave, including birthday and work-anniversary leave
• 401(k) plan with employer match
• Company-sponsored group health, dental, vision, and life/disability insurance for eligible employees
• Flexible work hours
• Hybrid work arrangement