AI Engineer, Trading Ops – Management

Crypto.com

. Manage the end-to-end lifecycle of trades across multi-asset classes .

Posted 10/13/2026full-timeNew York City • New York • United StatesMid-LevelSenior💰 $80,000 - $130,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing AI workflows and risk models using Python and machine learning, while ensuring data integrity and performance analysis in trading operations. Proficient in P&L attribution and financial market indicators, with a strong focus on automation and digital transformation.

Highest-signal resume keywords

Python Proficiency for AI/MLSQL SkillsAgentic AI Workflow DevelopmentP&L Attribution UnderstandingRisk Management and Systems Architecture

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonMachine LearningMLOpsSQLP&L AttributionRisk ModelsData IntegrityPerformance AnalysisAutomationFinancial Controls

Soft Skills

Systems-Thinking ApproachAbility to Thrive in High-Intensity Environments

Tools & Technologies

OpenAI APILangChainLLMsAI ToolsRisk Reporting Dashboards

Industry Keywords

Front-Office OperationsQuant DevelopmentRisk ManagementFinancial InstitutionMarket Risk IndicatorsGreeksVaRFinancial MarketsTrading PerformanceDigital Transformation

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Manage the end-to-end lifecycle of trades across multi-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
Build intelligent AI agents using OpenAI API, LangChain, or local LLMs for trade-data anomaly detection and automated P&L commentary
Ensure data integrity across trading systems, middle-office platforms, and downstream finance ledgers
Build reporting and analyses on trading performance using AI tools
Perform ad hoc business analytics
Develop real-time AI-driven risk models using 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
Lead the digital transformation of trading operations, risk monitoring, and legacy manual processes
Build real-time performance visualization tools and analyses

Requirements

What you’ll need

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
Strong SQL skills
Experience building agentic AI workflows is a significant advantage
Good understanding of P&L attribution, financial controls, market risk indicators including Greeks and VaR, financial markets, and products
Systems-thinking approach to operations and automation
Ability to thrive in a high-intensity environment requiring extended hours when necessary to meet global trading demands

Benefits

Comp & perks

Competitive salary
Attractive annual leave entitlement including birthday and work anniversary
401(k) plan with employer match
Company-sponsored group health, dental, vision, and life/disability insurance
Flexi-work hours and hybrid set-up
Internal mobility program offering diverse career alternatives
Supportive, collaborative, and inclusive work culture
Opportunities for personal and professional growth