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Risk Management - Card Risk Analytics and Economic Insights - Vice President

JPMorgan Chase
Wilmington, DE Full Time
POSTED ON 1/2/2025
AVAILABLE BEFORE 3/1/2025

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 Card Risk Analytics and Economic Insights Vice President in Card Services Risk, you will be accountable for monitoring geographic performance, Macroeconomic trends including jobs insights, and own the Credit Risk Early Warning reporting.  This is a very visible and influential role in delivering Card Risk analysts and guiding risk decisions.

You are expected to have a deep quantitative and analytical leadership experience with the ability to manage and develop a diverse and strong team.  You will be responsible for developing the leadership talent pipeline, along with driving the culture of the organization. You will need to build deep relationships with business and functional stakeholders across the firm and will be expected to interact with key clients and cobrand partner leadership teams. 

Job Responsibilities:

  • Design and deliver on a clear vision, methodology, and process for Card Risk Portfolio Analytics and inclusive of integrating new and transformed data and modern analytical tools.
  • Provide valuable insights and recommendations on Card portfolio risk to the Card Services Chief Risk Office and the Card Services Chief Executive Officer.
  • Communicate clear, concise, and objective guidance to management and comprehensive summaries to the appropriate committees.  
  • Manage the team in a positive and constructive manner; Identify and attract high performers; create opportunities for team to grow and develop in their careers.
  • Set adequate and measurable goals and objectives to aid staff development with ongoing review to develop talent throughout the department in accordance with company and team expectations.
  • Identify and implement world-class Portfolio Analytics and Insights to rapidly identify and mitigate risks in the Card Portfolio.
  • Assess macroeconomic, geographic and industry trends to design early warning metrics and triggers to identify emerging risks.
  • Establish risk mitigation treatments across the account lifecycle to rapidly manage risk if there are changes in the overall economy, in certain geographies or in the portfolio; Evaluate aggregate risks across the Card portfolio.
  • Effectively challenge existing Card Acquisition, Credit Line, Account Management and Collections decisions and treatments to better manage performance with the Card Business Risk Appetite.
  • Effectively advocate and be a spokesperson for management on risk issues and risk management decisions
  • Develop productive working relationship with the leaders across Card, Product Finance, Legal and Compliance and promote effective teamwork with supporting functional areas and business units.

Required qualifications, capabilities, and skills 

  • Bachelor's degree in a quantitative discipline (Finance/Statistics/Economics/Mathematics/Operations Research) is required
  • 7  years of Credit Risk Management or Analytics in the financial industry
  • Proven ability to coach and develop team to deliver results and create long-term assets for the firm
  • Consumer Banking P&L knowledge and understanding of drivers of profitability 
  • Analytical, interpretive, and problem solving skills with the ability to develop common sense solutions to complex business challenges

Preferred qualifications, capabilities, and skills

  • Advanced degree is preferred but is not required for this role
  • Experience with credit cards
  • Understanding or working knowledge of Credit Risk Models including Machine Learning and Logistic regression models preferred

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