Related skills
sql python mlops ml langchain📋 Description
- Trading ops and P&L analysis with AI.
- End-to-end trade lifecycle across multi-asset classes.
- Automate operations with Python ML and MLOps.
- Daily P&L attribution; explain variance via market moves.
- AI agents for anomaly detection in trade data and P&L commentary.
- Ensure data integrity across trading systems and ledgers.
- Risk monitoring with real-time AI-driven models and dashboards.
🎯 Requirements
- 5+ years in front-office ops, quant dev, or risk systems.
- Python expert for AI/ML; strong SQL.
- Experience building agentic AI workflows.
- P&L attribution, financial controls, market risk indicators.
- Systems-thinking with automated solution mindset.
- 60-70 hours/week; rotating weekends/on-call.
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