Risk Management - Quant Model Risk Vice-President

JPMorgan Chase & Co.•Jersey City, NJ

17h

About The Position

As a Risk Management - Quant Model Risk Vice-President within the Risk Management organization, you will lead thorough reviews of complex credit risk, finance and investment management models in the wealth management business.

Requirements

Advanced degree (MSc, PhD, or equivalent) in a quantitative discipline such as mathematics, statistics, financial engineering, or related field.
Advanced knowledge of probability theory, stochastic processes, statistics, and numerical analysis, with demonstrated ability to apply these concepts to financial modeling and risk assessment.
Minimum of 7 years of relevant experience in model development or model validation, and at least 3 years of experience in the development or validation of mortgage models.
Strong analytical and problem-solving skills, with an inquisitive mindset and the ability to formulate insightful questions, identify model limitations, and escalate issues appropriately.
Excellent written and verbal communication skills, with the ability to clearly explain complex quantitative concepts to both technical and non-technical stakeholders.
Proficient programming skills in languages such as R, Python, SAS or similar, with experience implementing numerical algorithms and developing model prototypes.
Demonstrated curiosity and ownership, with a strong willingness to work collaboratively within a team-oriented environment.

Nice To Haves

Experience developing, testing or validating AI/ML models is a plus

Responsibilities

Lead thorough reviews of complex credit risk, finance and investment management models in the wealth management business. Analyze the conceptual soundness, model design, and appropriateness of models for specific products and purposes.
Evaluate model behavior and ensure the suitability of estimation models for their intended applications, identifying potential limitations and areas for improvement.
Lead the development of alternative model benchmarks. Design and maintain robust model performance metrics to compare and monitor the outcomes of various models.
Continuously evaluate model performance, ensuring models remain fit for purpose and compliant with internal and regulatory standards. Recommend enhancements and oversee remediation where necessary.
Serve as the primary point of contact for the business regarding new model implementations and changes to existing models. Provide expert guidance on model usage, limitations, and governance requirements.
Liaise effectively with model developers, Risk, and finance team. Offer guidance and support on model governance, validation standards, and regulatory expectations.