Trading Ops & Risk Systems Engineer (AI & Automation)

Crypto Pro Network; Greater London; On-site; GBP 70,000 - 90,000; Full time

Job summary

A leading financial technology company in the UK is seeking an experienced Trading Ops & Risk Systems Engineer to enhance their trading infrastructure. This hybrid role focuses on automating operations using AI and advanced scripting to improve predictive risk modeling and real-time P&L visualization. Candidates should possess over 5 years of experience in front-office operations or quant development, with expertise in Python and SQL. Strong analytical skills and a passion for technology are essential.

Qualifications

• 5+ years in front-office operations or quant development.
• Expert proficiency in Python and strong SQL skills.
• Deep understanding of financial markets and products.

Responsibilities

• Manage the end-to-end lifecycle of trades.
• Develop AI workflows to automate operations and reconciliations.
• Perform daily P&L attribution and explain variance.

Skills

Python (for AI/ML)

SQL

Agentic AI workflows

P&L attribution

Market risk indicators

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.