Control Manager - Vice President

JPMorgan Chase JPMorgan Chase · Banking · New York, NY +1 · Corporate Sector

This Vice President Control Manager role within JPMorgan Chase's Chief Analytics Office (CAO) focuses on AI governance and Compliance & Operational Risk Evaluation (CORE) Program Governance. The role involves managing firmwide processes and controls related to AI/ML analytics, developing control frameworks, and supporting a community of practice for AI/ML Control Managers. It requires expertise in AI and machine learning analytics risk management, including model risk and generative AI, within a regulated banking environment.

What you'd actually do

  1. Overseeing artificial intelligence-related governance support and Compliance & Operational Risk Evaluation (CORE) Program Governance
  2. Managing Firmwide common processes & controls, ensuring the appropriate implementation of key controls in Policies and Standards, developing control management framework documents, and supporting the Data & Analytics Control Manager community of practice
  3. Complete relevant assessments in partnership with Control management and Business teams as needed (Ex. Operational Risk Summaries, Regulatory Topic assessment, Residual Risk view)
  4. Ensure key controls described in relevant AI/ML Analytics related Standards and Policies are reflected in CAO CORE content, and where appropriate, across LOB/CFs – leveraging strong knowledge of the CORE platform
  5. Support community of practice for AI/ML Analytics related Control Managers across LOB/CFs, related to changes to standards, practices and common controls, and calibration

Skills

Required

  • Bachelor’s degree or equivalent experience
  • Demonstrated sound judgment in assessing risk, prioritizing work, and engaging senior leaders through change
  • Proven experience leading cross-functional teams to analyze, design, and implement best practices
  • Strong understanding of banking risk frameworks, including the three lines of defense, compliance, conduct, and operational risk
  • Proficient in Microsoft Office Suite, with the ability to create impactful executive presentations highlighting opportunities and recommendations
  • Expertise in AI and machine learning analytics risk management, including model risk, generative AI, and data governance
  • Excellent communication and collaboration skills, with the ability to influence business leaders and build strong relationships

Nice to have

  • Self-motivated. Work autonomously to effect change - flexible, adaptable to shifting priorities; manages competing priorities to achieve the most effective result and able to work in a fast-paced, results oriented environment. Ability to manage ambiguity, and make subjective and informed decisions, influence stakeholders and justify decision making
  • Process analysis / design acumen – ability to understand a process E2E and associated risk to inform effective and sustainable control design and implementation
  • Problem solving / Analytical skills - solid critical thinking, attention to detail and analytical skills; able to synthesize large amounts of data and formulate appropriate conclusions
  • Understanding root cause / identifying control breaks
  • Developing timely and sustainable solutions including automation, data analytics, machine learning
  • Analyze metrics for emerging risk
  • Writing Action Plans, Procedures and Change Management

What the JD emphasized

  • AI and machine learning analytics risk management
  • model risk
  • generative AI
  • data governance
  • banking risk frameworks
  • three lines of defense
  • compliance
  • conduct
  • operational risk