About the Role
You will manage trade lifecycles across multi-asset classes and automate operational workflows and reconciliations using agentic AI, Python, and MLOps tools. You will perform P&L attribution, investigate variance, ensure data integrity across trading and finance systems, and build AI-assisted reporting and business analyses. You will also develop real-time risk models, identify emerging cross-market risks, and maintain risk-reporting dashboards.
Requirements
•3+ years of experience in front-office operations, quant development, or risk management and systems architecture within a financial institution
•Expert proficiency in Python for AI and machine learning
•Strong SQL skills
•Understanding of P&L attribution, financial controls, market risk indicators, financial markets, and products
•Systems-thinking approach to automating manual tasks
•Ability to work extended hours when necessary to meet 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
•Build AI agents for trade-data anomaly detection and P&L-report commentary
•Ensure data integrity across trading systems, middle-office platforms, and finance ledgers
•Build reporting and analyses on trading performance
•Develop real-time AI-driven risk models
•Develop and maintain risk-reporting dashboards
