Model Risk Program Associate - Model Risk Governance Review - Senior Associate

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 Model Risk Program Associate within the Corporate Aligned functions, you will be responsible for assessing the risks associated with models used within the Corporate Aligned functions including, but not limited to, Human Resources, Legal, Finance and Technology. You will perform independent testing, develop benchmarking tools, and monitor performance of the models. You will leverage your technical expertise and intellectual rigor to assess conceptual soundness of the models, identify and assess the emerging model risks from various component models and model-to-model interactions. Job responsibilities: Conduct independent model validation and governance activities to assess model soundness, mitigate model risk with a focus on statistical model, including AI/ML (e.g. XGB, Neural Networks, Reinforcement Learning, as well as variations of Regression algorithms). Provide expert judgment on model performance Guide on model usage and act as the first point of contact for the business on all new models and changes to existing models. Develop and implement alternative model benchmarks and compare the outcome of various models. Liaise with model developers, users, and control functions to aid model discovery and provide guidance on model risk. Document validation processes and results, communicate findings and recommendations to stakeholders Design model performance metrics and evaluate model performance on a regular basis. Required qualifications, capabilities, and skills: A PhD or Master’s degree in a quantitative field such as Mathematics, Physics, Engineering, Computer Science, Economics or Finance is required. Strong verbal and written communication skills, with the ability to interface with other functional areas in the firm on model-related issues and write high quality technical reports. Deep understanding of standard statistical techniques as well as AI/ML methods. Strong analytical and problem-solving skills Attention to detail and commitment to quality Ability to work independently and as part of a team Ability to implement benchmarking models in Python, R, or equivalent Risk- and control-oriented mindset: ability to ask incisive questions, assess the materiality of model issues, and escalate issues appropriately. Ability to work in a fast-paced, results-driven environment. Preferred qualifications, capabilities, and skills: Experience in financial services or banking Experience in model validation or risk management Familiarity with generative AI models Advanced proficiency in programming languages Experience with model governance frameworks