AI Engineer, Trading Ops & Management

Crypto.com is seeking an AI Engineer to evolve its trading infrastructure by combining trading operations, risk monitoring, and AI development. The role automates manual processes, improves risk modeling, and builds reporting and performance analysis tools.

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
• Use AI tools to build reporting and analyses on trading performance and perform adhoc business analytics
• Intelligent Risk Management: 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

Preferred

• Experience building agentic AI workflows is a significant advantage
• Agentic AI Workflow Development

Benefits

• Attractive annual leave entitlement including birthday and work anniversary leave
• 401(k) plan with employer match
• Eligible for company-sponsored group health, dental, vision, and life/disability insurance
• Flexible work hours and hybrid setup
• Internal mobility program offering employees a diverse scope
• Benefits packages vary depending on region requirements

Company

• Cryptocurrency exchange for buying, selling, storing, and trading crypto.
• Singapore, Central Region, SGP
• https://crypto.com/
• Founded in 2016
• 1001-5000 employees

Qualifications

• 3+ 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
• Good 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
• Ability to thrive in a high-intensity environment requiring extended hours when necessary to meet global trading demands
• Experience building agentic AI workflows is a significant advantage
• 3+ years in front-office operations, quant development, or a blend of risk management and systems architecture within a financial institution.

Required skills

• , Agentic AI Workflows, P&L Attribution, Financial Controls, Market Risk, Value at Risk (VaR), Financial Markets and Products, Front-Office Operations, Risk Management, Greeks

Experience

• 3+ years