JPMorgan Chase
AI Control Manager - Senior Associate
$86K–$130K
Jersey City, NJ · Manager · Full-time · Posted Oct 19, 2026
- Experience
- Minimum 7+ years is listed as a preferred qualification.
- Education
- Bachelor’s degree in Finance, Business, Technology, or a related field.
About the job
Assesses and monitors AI risks and performs data-driven control testing across client onboarding and KYC processes, using analytics, automation, and AI tools to identify and address control gaps.
What you'll do
- Assess AI/ML solutions for risk and compliance with firmwide governance standards; document, escalate, and track remediation.
- Execute and document control tests and proactive reviews across KYC/client onboarding processes, identifying gaps, operational breaks, and recurring issues.
- Develop AI-enabled automation and prompt templates to streamline control testing, documentation checks, and BAU monitoring.
What they ask for
- Bachelor’s degree in Finance, Business, Technology, or a related field.
- Understanding of AI/ML concepts and ability to evaluate AI systems from a Risk & Controls perspective.
- Hands-on experience using AI and automation tools, including practical application of LLMs in control testing, documentation checks, issue identification, and summarization.
- Ability to analyze large volumes of data and manage stakeholders and multiple priorities.
Nice to have
- Minimum 7+ years of experience in risk management and financial services; listed domains include KYC, AML compliance, financial crimes, operational risk, audit, credit risk, market risk, business process management, and Client onboarding & Documentation.
- AI model validation or oversight exposure, control-testing experience, knowledge of control design and root cause analysis, or working knowledge of Alteryx, Power BI, Tableau, UI Path, Pega, Python, and Microsoft Applications.
Pay
$85,500.00-$130,000.00 USD base salary
Tools
AI/ML, Large Language Models (LLMs), Alteryx, Power BI, Tableau, UI Path, Pega, Python
AI focus
Conduct AI risk assessments and governance monitoring; apply LLMs, prompt engineering, and AI-enabled automation to control testing, documentation checks, issue identification, and BAU monitoring.
Model-written summary · the original posting is authoritative