Drimva

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

First seen Oct 28, 2026 · Last verified Nov 5, 2026 (UTC)