{"active":true,"apply_url":"https://jobs.lever.co/crypto/56065276-69e8-490f-8d66-115a943fa652/apply","company":{"claimed":false,"name":"Crypto.com","slug":"crypto-com","website":"https://crypto.com"},"countries":["GB"],"employment_type":"full-time","first_seen_at":"2026-10-31T10:45:10Z","getwork_url":"https://getwork.dev/jobs/lv-crypto-com-56065276-69e8-490f-8d66-115a943fa652/","id":"lv-crypto-com-56065276-69e8-490f-8d66-115a943fa652","injection_flag":false,"last_seen_at":"2026-11-03T06:15:09Z","location":"London","published_at":"2026-10-09T09:05:48Z","regions":["europe"],"remote":"hybrid","role_family":"ml","salary":null,"seniority":"unspecified","stack":["python"],"stack_mentioned":["llm"],"title":"AI Engineer, Trading Ops & Management","untrusted_description":"\n\nKey Responsibilities: \n1. Trading Operations and Performance Analysis with AI\n\n-\nManage 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\n\n-\nPerform 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.\n\n-\nEnsure data integrity across trading systems, middle-office platforms, and downstream finance ledgers.\n\n-\nUse AI tools to build reporting and analyses on trading performance and perform adhoc business analytics\n\n2. Risk Monitoring & Control\n\n-\nIntelligent 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.\n\n-\nDevelop and maintain sophisticated risk reporting dashboards for the desk.\n\nRequirements & Qualifications: \n-\nExperience: 3+ years in front-office operations, quant development, or a blend of risk management and systems architecture within a financial institution.\n\n-\nTechnical Stack: Expert proficiency in Python (for AI/ML), and strong SQL skills. Experience building agentic AI workflows is a significant advantage.\n\n-\nFinancial Acumen: Good understanding of P&L attribution, financial controls, market risk indicators (Greeks, VaR), financial markets and products.\n\n-\nProblem Solving: A \"systems-thinking\" approach to operations—treating every manual task as a bug that needs an automated solution.\n\n-\nCapacity: Ability to thrive in a high-intensity environment requiring extended hours when necessary to meet global trading demands.","url":"https://jobs.lever.co/crypto/56065276-69e8-490f-8d66-115a943fa652"}