Risk Management - AI Governance - Vice President

Testing Site - JPMC

New York (NY)

Sur place

USD 180 000 - 260 000

Plein temps

14 jours+

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Résumé du poste

JPMorgan Chase's Risk Management and Compliance team seeks a Vice President for the AI Governance function in New York. You will lead the implementation of governance and risk frameworks across MRGR and firmwide AI/ML initiatives, ensuring models are fit for purpose and understood.

You will partner with stakeholders to identify emerging risks, design controls, and communicate with senior management and regulators.

Qualifications

  • 7+ years of experience in risk governance, technology, or model risk.
  • Proven ability to translate technical concepts into business risk terms.
  • Strong communication with senior stakeholders across functions.

Responsabilités

  • Design and implement AI governance frameworks, policies, and procedures.
  • Collaborate with stakeholders to assess evolving AI/ML risks and governance needs.
  • Build relationships with MRGR and firmwide AI/ML functions.
  • Design controls and processes across interdisciplinary teams for risk mitigation.
  • Prepare communications for senior management and regulators on risks.
  • Own and drive project workstreams from inception to completion.

Connaissances

Risk governance
Executive communication
Stakeholder management
Change management
Interdisciplinary collaboration

Description du poste

Join JPMorgan Chase's Risk Management and Compliance team to play a crucial role in maintaining the firm's strength and resilience. You'll leverage your expertise to anticipate risks and solve challenges, contributing to responsible business growth. Our culture encourages innovative thinking and excellence. As part of the MRGR team, you'll focus on model validation and governance to manage Model Risk, ensuring models are fit for purpose and their limitations are understood. The AI Governance team specifically addresses AI model risk management across the firm.

As a Vice President in the AI Governance team, you will lead the implementation of new governance and risk frameworks, both firmwide and internally within MRGR, in support of the firm’s expansion into AI/ML models.

Job Responsibilties
  • Design and implement comprehensive AI governance frameworks, policies, and procedures responsive to the rapidly changing landscape
  • Collaborate with stakeholders across the firm to identify new and evolving AI/ML practices, and evaluate whether the existing governance framework (model risk management policy, procedures and standards) sufficiently addresses these emerging risks
  • Establish strong relationships on behalf of MRGR with key AI/ML related functions firmwide, establishing a deep network and understanding of the firmwide AI/ML landscape
  • Engage with stakeholders on controls and process design, especially where an interdisciplinary approach is needed, and identify opportunities for process optimization
  • Develop and prepare communications for senior management and regulators about the emerging risks and mitigation strategies.
  • Independently own and execute project workstreams within the organization from inception to completion
Required qualifications, skills and capabilities
  • 7+ years of experience in risk management, technology, model development or model risk roles
  • Keen understanding of risk governance, and ability to navigate a complex organization
  • Exceptional communication skills, with the ability to interface with senior stakeholders in other functional areas in the firm. Ability to translate technical considerations into business risks, and communicate effectively in an interdisciplinary environment
  • Experience with change management and build-out of systems, processes and frameworks
  • Risk and control mindset: ability to ask incisive questions, identify and assess risks
  • Exceptional organization skills and understanding of corporate governance. Ability to influence at scale, resolve uncertainty, and deliver results in a fast-paced, multidisciplinary environment
Preferred qualifications, skills and capabilities
  • Experience in model review or model governance roles
  • Experience with technology systems design
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