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AI/ML Hybrid

AI Engineer, Trading Ops & Management

Job Overview

You will leverage Large Language Models (LLMs), machine learning, and advanced scripting to automate legacy manual processes, improve predictive risk modeling, and build real-time performance visualization tools and analyses.

Key points

  1. Trading Operations and Performance Analysis with AI.

  2. 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…

  3. 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…

  4. Ensure data integrity across trading systems, middle-office platforms, and downstream finance ledgers.

  5. Expert proficiency in Python (for AI/ML), and strong SQL skills. Experience building agentic AI workflows is a significant advantage.

  6. Good understanding of P&L attribution, financial controls, market risk indicators (Greeks, VaR), financial markets and products.

  7. A "systems-thinking" approach to operations—treating every manual task as a bug that needs an automated solution.

  8. Ability to thrive in a high-intensity environment requiring extended hours when necessary to meet global trading demands.

Skills

Machine LearningLLMsPythonRisk ManagementSQLMLOpsData VisualizationStakeholder Management

Experience: Mid-level · 3+ years · Job type: Full-time

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