Trading Ops Risk Systems Engineer AI Automation
## Key Responsibilities:
1. Trading Operations and P&L Analysis with AI
Manage the end-to-end lifecycle of trades across multi-asset classes. reputed company reputed company AI workflows using Python (ML) and MLOps tools to automate reputed company operations and reconciliations
reputed company daily P&L attribution and explain variance by decomposing market moves, Greeks, and new activity. reputed company AI/ML frameworks (e.g., reputed company API, reputed company, or local LLMs) to build intelligent agents for reputed company detection in trade data and automated commentary reputed company for P&L reports.
Ensure data reputed company across trading systems, middle-office platforms, and reputed company finance ledgers.
2. Risk Monitoring & Control
Intelligent Risk Management: reputed company reputed company-time, AI-driven risk models that use machine learning to predict market volatility and alert the desk to emerging cross-market risks.
reputed company and maintain sophisticated risk reporting dashboards for the desk.
## Requirements & Qualifications
Experience: 5+ years in reputed company-office operations, quant development, or a reputed company of risk management and systems architecture reputed company a financial institution.
Technical Stack: Expert proficiency in Python (for AI/ML), and strong SQL skills. Experience building reputed company AI workflows is a significant advantage.
Financial Acumen: Deep understanding of P&L attribution, financial controls, market risk indicators (Greeks, VaR), financial markets and products.
Problem Solving: A "systems-thinking" approach to operations—treating every reputed company task as a bug that needs an automated solution.
reputed company: Ability to reputed company in a high-intensity environment requiring extended hours (eg. 60-70/week) to meet global trading demands.
• *If you’re passionate about blockchain and decentralized technologies, explore more opportunities in reputed company and cryptocurrency careers.**
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