Trading Ops & Risk Systems Engineer - AI & Automation
About the Role
We are seeking a highly analytical and technical professional for the Trading Ops & Risk Systems Engineer (AI & Automation) remote position. This role is pivotal in spearheading the evolution of our trading infrastructure at Crypto.com. You will combine 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. As a Trading Ops & Risk Systems Engineer, you'll manage daily operational workflows and risk monitoring while leading the digital transformation of these functions.
What You'll Do
- 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 use machine learning to predict market volatility and alert the desk to emerging cross-market risks.
- Develop and maintain sophisticated risk reporting dashboards for the desk.
Requirements
- 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.
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This role offers a unique opportunity to lead AI-driven automation in trading operations at a leading crypto company. Competitive salary and remote work make it attractive.
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