Bring your expertise to JPMorgan Chase. As part of Risk Management and Compliance, you are at the center of keeping JPMorgan Chase strong and resilient. You help the firm grow its business in a responsible way by anticipating new and emerging risks, and using your expert judgement to solve real-world challenges that impact our company, customers and communities. Our culture in Risk Management and Compliance is all about thinking outside the box, challenging the status quo and striving to be best-in-class.

As a Managing Director in the Model Risk Governance & Review (MRGR) group, you will be responsible for conducting model validation and governance through the model lifecycle. In this role you and your team will help identify, measure, and mitigate Model Risk. MRGR works closely with Risk, Finance, Control and Line Of Business (LOB) professionals to monitor model performance, review findings, and implement risk mitigating strategies.

As part of Risk Management and Compliance, you are at the center of keeping JPMorgan Chase strong and resilient. You help the firm grow its business in a responsible way by anticipating new and emerging risks, and using your expert judgement to solve real-world challenges that impact our company, customers and communities. Our culture in Risk Management and Compliance is all about thinking outside the box, challenging the status quo and striving to be best-in-class.

MRGR is a global team of modeling experts within the firm’s Risk Management and Compliance organization. The team is responsible for conducting independent model validation and model governance activities to help identify, measure, and mitigate Model Risk in the firm. The objective is to ensure that models are fit for purpose, used appropriately within the business context for which have been approved, and that model users are aware of the model limitations and how they could impact business decisions.

Job Responsibilities:

• Lead the Model Risk Governance and Review (MRGR0 group for Asset and Wealth Management (AWM)
• Manage a team responsible for the validation and risk governance of all quantitative and qualitative models used across AWM.
• Supervise model validation, including model reviews and model risk measurement:
  • Model reviews: Evaluate conceptual soundness of model specification; assess the reasonableness of assumptions and reliability of inputs; ensure completeness of testing performed to support the correctness of the implementation; examine the robustness of numerical aspects; and check the suitability and comprehensiveness of performance metrics and risk measures associated with use of model.
  • Model risk measurement: Design experiments to measure the potential impact of model limitations, parameter estimation error or deviations from model assumptions; compare model outputs with empirical evidence and/or outputs from model benchmarks.
  • Stay informed about the latest developments in AWM/industry in terms of modeling techniques, products, markets, models, model risk management practices and industry standards.
  • Set direction, including providing training for junior members of the team and facilitating their learning and development. 
• Lead the end-to-end model risk management of model validation of Machine Learning (ML) within AWM, being proficient in the technical aspects of ML, understanding the strengths and limitations of ML techniques, being able to articulate whether the choice of an ML technique is appropriate, and having a practitioner’s understanding of their regulatory requirements.

 Required Qualifications, Skills and Capabilities

• 10 years' of relevant experience, with at least 5 years of experience in applied quantitative research or model development demonstrating expertise in leadership.
• In depth knowledge of economics, econometrics, statistics, numerical methods.
• Product domain expertise in Asset and Wealth Management
• Excellent analytical and problem-solving abilities.
• Risk & Control mindset: Inquisitive nature, bias for action, ability to ask the right questions, escalate issues promptly and drive resolution.
• Excellent communication skills (written and verbal).
• PhD or Master’s degree in quantitative disciplines such as Economics, Finance, Econometrics, Statistics, or similar.