AI Engineer, Trading Ops & Management

Crypto.com•New York, NY
•Hybrid

About The Position

This hybrid role combines trading operations, risk management, and AI-focused development to evolve Crypto.com's trading infrastructure. The successful candidate will manage daily operational workflows and risk monitoring while leading the digital transformation of these functions. The role uses large language models, machine learning, and advanced scripting to automate manual processes, improve predictive risk modeling, and build real-time performance visualizations and analyses. The position covers trade lifecycle management across multiple asset classes, P&L attribution, operational data integrity, intelligent risk monitoring, and reporting. It also involves building AI-driven workflows, models, dashboards, and analyses to support trading performance and risk oversight. The role requires working in a high-intensity environment and may require extended hours to meet global trading demands.

Requirements

  • At least 3 years of experience 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.
  • Strong SQL skills.
  • Good understanding of P&L attribution, financial controls, market risk indicators such as Greeks and VaR, financial markets, and financial products.
  • A systems-thinking approach to operations, treating manual tasks as opportunities for automation.
  • Ability to thrive in a high-intensity environment that may require extended hours to meet global trading demands.

Nice To Haves

  • Experience building agentic AI workflows.

Responsibilities

  • Manage the end-to-end lifecycle of trades across multiple asset classes.
  • Develop agentic AI workflows using Python, machine learning, 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.
  • Use AI/ML frameworks such as the OpenAI API, LangChain, or local LLMs to build agents for trade-data anomaly detection and automated P&L report commentary.
  • Ensure data integrity across trading systems, middle-office platforms, and downstream finance ledgers.
  • Use AI tools to build trading performance reports and analyses and perform ad hoc business analytics.
  • 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 risk reporting dashboards for the desk.

Benefits

  • Competitive salary.
  • 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 opportunities to take on a new scope or pursue career alternatives.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service