Control Manager Vice President - Chief Analytics Office

JPMorgan Chase & Co.•New York, NY

49d•Onsite

About The Position

Are you interested in driving AI governance and risk management, leading controls, and ensuring compliance for a crucial area in the firm? If so, this may be the role for you! Our team is at the forefront of AI governance and operational risk management, driving the development and implementation of robust controls and frameworks that safeguard our data and analytics environment. By partnering across business lines and leading a community of practice, you will play a pivotal role in shaping the firm's approach to AI/ML risk, ensuring compliance, and inspiring confidence through expert leadership and innovative solutions. As an Vice President Control Manager within the Chief Analytics Office (CAO), you will be responsible for overseeing artificial intelligence-related governance support and Compliance & Operational Risk Evaluation (CORE) Program Governance. Your responsibilities will include 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. Working in partnership with the Control Management team and CAO business/control partners, you will play a significant role in effectively managing the overall operational risk environment for CAO.

Requirements

Bachelor's degree or equivalent experience
Sound judgement in assessing risk, prioritizing work, engaging senior leaders, and managing thru change
Experience leading across organizational boundaries to analyze, design, and deliver best practices
Demonstrate confident leadership and sound judgment to influence a strong culture and risk management, including senior management presentations/ exchanges
Strong understanding of the 3 lines of defense in banking institutions, Compliance, Conduct & Operational Risk Frameworks;
Proficient in Microsoft Office Suite (Word, Excel, PowerPoint) with the ability to develop compelling and meaningful executive presentations that will highlight opportunities / recommendation for improvement
Experience with Estimations and AI/ML Analytics related risk management including risks related to various modeling techniques, Generative AI and AI/ML development.
Domain knowledge related to AI/ML Estimations and Data risk management and governance, and Banking regulations
Business knowledge - ability to understand the business / knowledge of regulation surrounding business
Communication/presentation - excellent written and verbal communication skills with an ability to articulate & explain business issues and controls.
Building coalitions and influencing with an E2E mindset - strong interpersonal skills, collaboration and relationship building skills. Ability to engage and influence business leaders in a meaningful and actionable manner

Nice To Haves

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

Responsibilities

Complete relevant assessments in partnership with Control management and Business teams as needed (Ex. Operational Risk Summaries, Regulatory Topic assessment, Residual Risk view)
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
Develop relevant control management framework document(s) in partnership with business and control partners
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
Review reporting and key metrics to proactively identify emerging risks or themes; partner with the business partners to enhance metrics being gathered to monitor standards-adherence as well as emerging risk detection
Support CAO control management priorities as necessary, including reviewing materials / responses to regulatory queries and meetings
Partner with Line of Defense Partners (Legal, Compliance, Op Risk, and Audit) to understand their priorities and engage them as appropriate to manage the control environment, while ensuring successful Compliance/Op Risk tests and Audits, and Regulatory exams as applicable
Lead by example, with exemplary personal and professional attributes. Inspire confidence in staff as well as key business and control partner.

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