JPMorgan Chase & Co.
Risk Management - Model Risk Governance & Review - Vice President
JPMorgan Chase & Co., Jersey City, New Jersey, United States, 07390
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 Vice President within MRGR at JPMorgan Chase, you will have the opportunity to work in a dynamic setting alongside Model Developers, Users, Risk and Finance professionals. As a key stakeholder in day-to-day model-related risk management decisions, you will play a crucial role in maintaining the strength and resilience of our firm. This is an team member contributor position where your expertise and judgement will be highly valued.
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; 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, and (c) monitor 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.
Keep up with developments in consumer banking in terms of modeling techniques (ML methodologies. 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, capabilities, and skills
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 science. In depth knowledge of statistic/econometric methodologies (time series, panel data, etc.) and hands on experience with Machine Learning models are required.
Minimum of 5 years of prior experience in Model Development or Model Validation in Financial Institutions. Ability to conduct model validation end-to-end as an individual contributor.
Ask incisive questions, assess issues and risks’ materiality
Haveknowledge of consumer banking; ability to understand the business and the regulation surrounding the business
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
#J-18808-Ljbffr
As a Vice President within MRGR at JPMorgan Chase, you will have the opportunity to work in a dynamic setting alongside Model Developers, Users, Risk and Finance professionals. As a key stakeholder in day-to-day model-related risk management decisions, you will play a crucial role in maintaining the strength and resilience of our firm. This is an team member contributor position where your expertise and judgement will be highly valued.
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; 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, and (c) monitor 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.
Keep up with developments in consumer banking in terms of modeling techniques (ML methodologies. 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, capabilities, and skills
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 science. In depth knowledge of statistic/econometric methodologies (time series, panel data, etc.) and hands on experience with Machine Learning models are required.
Minimum of 5 years of prior experience in Model Development or Model Validation in Financial Institutions. Ability to conduct model validation end-to-end as an individual contributor.
Ask incisive questions, assess issues and risks’ materiality
Haveknowledge of consumer banking; ability to understand the business and the regulation surrounding the business
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
#J-18808-Ljbffr