AI Engineer – Trading Ops & Management

Crypto.com

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

Posted 10/27/2026full-timeSan Francisco • California • 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 effective reporting in a fast-paced financial environment.

Highest-signal resume keywords

Python ProficiencySQL SkillsAI/ML Workflow DevelopmentP&L Attribution UnderstandingRisk Management Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonMachine LearningSQLP&L AttributionRisk ModelingData IntegrityFinancial ControlsMarket Risk IndicatorsAnomaly DetectionBusiness Analytics

Soft Skills

Systems-ThinkingAbility to Thrive in High-Intensity Environments

Tools & Technologies

OpenAI APILangChainMLOps ToolsRisk Reporting Dashboards

Industry Keywords

Front-Office OperationsQuant DevelopmentFinancial InstitutionMarket VolatilityGreeksVaRFinancial MarketsTrading Systems

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 (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
Build intelligent agents using AI/ML frameworks such as OpenAI API, LangChain, or local LLMs for anomaly detection and automated P&L report commentary
Ensure data integrity across trading systems, middle-office platforms, and downstream finance ledgers
Build reporting and analyses on trading performance and 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

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 (Greeks, VaR), financial markets and products
A "systems-thinking" approach to operations
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, work anniversary
401(k) plan with employer match
Eligible for company-sponsored group health, dental, vision, and life/disability insurance
Work Flexibility Adoption. Flexi-work hour and hybrid set-up
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