Related skills
sql python machine learning mlops llmsπ Description
- Trading ops and P&L analysis with AI
- Manage end-to-end lifecycle of trades across multi-asset classes
- Build AI workflows to automate manual operations
- Conduct daily P&L attribution and explain variance
- Develop anomaly detection for trade data with AI
- Ensure data integrity across trading systems
π― Requirements
- 5+ years in front-office ops, quant dev, or risk/sys architecture
- Expert Python for AI/ML; strong SQL; experience building AI workflows
- Deep understanding of P&L attribution and market risk indicators
- Systems-thinking approach to automate manual tasks
- Ability to work in high-intensity environment; long hours
- Willingness to rotate weekends and 24/7 on-call for live production
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