Join JP Morgan as a Control Manager at the Vice President level and be part of a team that ensures strong and consistent controls are observed across the Chief Analytics Office (CAO) organization. You will have the opportunity to use your skills and knowledge to ensure the security and success of the firm.

As an Vice President Control Manager within the Chief Analytics Office, you will oversee 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.

Job responsibilities: 

• Establish and manage a set of Firmwide Common Processes and associated risks and controls in CORE (Ex. Business resiliency, Third party oversight, Public/Private designations, Employee Compliance). Perform annual control evaluation (design and implementation) and issue management as appropriate
• 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 mapping and gap assessment of current state controls with industry frameworks such as NIST, or regulatory requirements escribed in documents like the CISA framework, to facilitate gap remediation as appropriate
• 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
• Flexibly support CDAO 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 partners

Required qualifications, capabilities and skills: 

• Bachelor’s degree or equivalent experience required 
• 7 years of financial services experience in controls, audit, quality assurance, risk management, or compliance 
• Ability to exercise 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.
• 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
• Problem solving / Analytical skills - solid critical thinking, attention to detail and analytical skills; able to synthesize large amounts of data and formulate appropriate conclusions 
• Domain knowledge related to AI/ML Estimations and Data risk management and governance, and Banking regulations is desirable

Preferred qualifications, capabilities, and skills:

• 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 
• Process analysis / design acumen – ability to understand a process E2E and associated risk to inform effective and sustainable control design and implementation
• Understanding root cause / identifying control breaks
• Developing timely and sustainable solutions including automation, data analytics, machine learning
• Analyze metrics for emerging risk and Writing Action Plans, Procedures