Senior Associate AI Control Manager

JPMorgan Chase

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Jersey City, NJ
Posted
16 days ago
Freshness
Confirmed live yesterday

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Salary context

How this pay compares to similar roles

Similar $197k
$134k most similar roles pay here $258k

This listing doesn't post a salary. Most similar roles pay $149,312–$245,575.

Based on 239 similar postings.

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About JPMorgan Chase

JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.

JPMorgan Chase currently has 1117 open roles on FindRole.

Listed pay typically runs $186,160–$215,000 across 7 roles with salary data.

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At a glance

TL;DR · Senior Associate AI Control Manager

As an AI Control Manager - Senior Associate within the Client Onboarding & Documentation team, you will strengthen the control environment by applying advanced testing, data analytics, and automation to manage risks associated with AI solutions. You will be responsible for identifying and monitoring significant risks, ensuring compliance with operational policies, and performing control testing across KYC and client onboarding processes. Your daily work involves managing large datasets, conducting data-driven testing, and developing automated solutions to proactively identify errors. You will also perform risk assessments on AI/ML models and translate requirements into prompt engineering and reusable templates for LLM-based tools. The role requires proficiency in Python, Alteryx, Power BI, Tableau, UiPath, and Pega to solve complex problems regarding ethical conduct, operational compliance, and the integration of AI within financial services regulatory frameworks.

What you'll do

  • Conduct risk assessments on AI/ML solutions to ensure compliance with firmwide governance standards and policies.
  • Execute control testing for KYC and client onboarding processes including documentation completeness and evidence standards.
  • Perform data-driven testing across large datasets using automation and analytical tools to identify operational breaks.
  • Develop prompt engineering and reusable templates to automate evidence checks and policy validation.
  • Identify control gaps and recurring themes to lead root cause discussions and remediation tracking with stakeholders.
  • Document testing scope, sampling results, and evidence in a clear, audit-ready format.
  • Implement AI-enabled tools to streamline manual processes and improve the accuracy of onboarding documentation.
  • Monitor key operational risks and regulatory activities to ensure compliance with legal requirements.

What we're looking for

  • Bachelor’s degree in Finance, Business, Technology, or a related field.
  • Demonstrated understanding of AI/ML concepts from a Risk & Controls perspective.
  • Hands-on experience streamlining processes using AI tools and Large Language Models (LLMs).
  • Ability to analyze large volumes of data to identify trends and patterns.
  • Strong stakeholder management skills and ability to lead discussions across various functions.
  • Proficiency in prompt engineering for evidence checks, policy validation, and issue summarization.
  • Minimum 7 years of experience in risk management or the financial services industry is preferred.
  • Working knowledge of tools such as Alteryx, Power BI, Tableau, UiPath, Pega, or Python is preferred.

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