AI Engineer, Trading Ops & Management

Crypto.com is hiring an AI Engineer, Trading Ops & Management to evolve its trading infrastructure by combining trading operations, risk monitoring, and AI development. The role focuses on automating workflows, improving predictive risk modeling, and building real-time performance reporting and visualization tools.

Responsibilities:

• 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 reconciliations
• Perform daily P&L attribution and explain variance by decomposing market moves, Greeks, and new activity. Leverage AI/ML frameworks (e.g., OpenAI API, LangChain, or local LLMs) to build intelligent agents for anomaly detection in trade data and automated commentary generation for P&L reports
• Ensure data integrity across trading systems, middle-office platforms, and downstream finance ledgers
• Use AI tools to build reporting and analyses on trading performance and perform adhoc business analytics
• Intelligent Risk Management: Develop real-time, AI-driven risk models that use machine learning to predict market volatility and alert the desk to emerging cross-market risks
• Develop and maintain sophisticated risk reporting dashboards for the desk

Requirements:

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