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Trading Ops & Risk Systems Engineer (AI & Automation)
- london, england, United Kingdom
- Hybrid
- £70 - £90 Per Hour
Job Description
Trading Ops & Risk Systems Engineer (AI & Automation)
We are seeking a highly analytical and technical professional to spearhead the evolution of our trading infrastructure. This hybrid role combines the fast‑paced execution of a Trading Operations Specialist, the analytical rigor of a Risk Manager, and the technical capabilities of an AI‑focused Developer. The successful candidate will manage daily operational workflows and risk monitoring while leading the digital transformation of these functions. By leveraging Large Language Models (LLMs), machine learning, and advanced scripting, you will automate legacy manual processes, improve predictive risk modeling, and build real‑time P&L visualization tools.
Key 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.
- Develop real‑time, AI‑driven risk models that predict market volatility and alert the desk to emerging cross‑market risks.
- Develop and maintain sophisticated risk reporting dashboards for the desk.
Requirements & Qualifications
- 5+ 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. Experience building agentic AI workflows is a significant advantage.
- Deep 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.
- Capacity to thrive in a high‑intensity environment requiring extended hours when necessary to meet global trading demands.
- Willingness to participate in a rotational weekend and on‑call schedule, providing immediate resolution to live production issues.