Risk Management - Quant Modeling Lead - Vice President

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 Risk Management - Quant Modeling Lead - Vice President within the global team of modeling experts, you will be tasked with conducting independent model validation and model governance activities. Your role will be crucial in identifying, measuring, and mitigating Model Risk within the firm. Your objective will be to ensure that models are fit for purpose and are used appropriately within the business context for which they have been approved. You will also be responsible for ensuring that model users are aware of the model limitations and how they could impact business decisions. As a Vice President within the Model Risk Governance and Review (MRGR) team, you will have an attractive career path in a dynamic setting, working closely with Model Developers, Users, Marketing, Operations, Digital, Risk, and Finance professionals. As a key stakeholder, you will be involved in day-to-day model-related risk management decisions. This role is an team member contributor position.

Job Responsibilities

• Engage in model validation activities, including (a) evaluate models’ conceptual soundness, reasonableness of assumptions, reliability of inputs, completeness of testing, outcome analysis and model performance (b) perform independent testing; identify model limitations and 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; articulate whether choice of modeling technique is appropriate for the use case and (c) assess model performance on an ongoing basis.
• Liaise with internal and external groups including Model Developers & Users (Risk, Finance, Operations and Marketing), Fair Lending, Technology, Control teams, Internal Audit and Bank regulators 
• Maintain model risk controls, help identify and escalate issues to ensure that their resolutions are sound and timely.
• Monitor evelopments in Marketing, Operations and Digital models in terms of techniques (ML methodologies. Generative AI, LLMs), products, markets, models, risk management practices and industry standards.
• Participate and actively contribute to the life and activities of MRGR CCB and MRGR more broadly

Required qualifications, skills and capabilities

• PhD or Master Degree in Statistics, Economics (with a focus on Econometrics), Data Science, Computer Science, Operations Research, Physics, Engineering, Applied Math or a quantitative discipline. 
• In depth knowledge and hands on experience with  regression approaches and Machine Learning models (Tree based models, XGBoost, Neural Networks etc.), multivariate statistics, forecasting (time series etc.) and are required.
• 5 years prior experience in Model Development or Model Validation in Financial Institutions. Ability to conduct model validation end-to-end as an individual contributor.
• Risk and control mindset: Ask incisive questions, assess issues and risks’ materiality
• Knowledge of consumer banking models (could be in any of the following areas: Risk, Fraud, Marketing, Operations or Digital space); ability to understand business and the regulations surrounding the business 
• Strong communication skills – Verbal and written; ability to interface with stakeholders on model-related issues, write clear model validation reports; create presentations on model validation topics
• Experience in Python, SAS or another programming language