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JPMorgan Wholesale Strategic Analytics - Senior Associate 
United States, Delaware, Wilmington 
56563240

Today

Bring your expertise to JP Morgan Chase.

As a Wholesale Strategic Analytics Senior Associate in the Business Banking team, you will drive risk criteria and strategic analytics for Wholesale credit products, playing a key role in acquisition and growth. This role requires dedicated attention to refining risk criteria, monitoring credit performance, developing innovative solutions, and ensuring compliance with legal and fair lending standards. You will collaborate with the risk team to generate thoughtful analytics and recommendations to the business regarding strategy and criteria development, implementation, operational controls, and performance monitoring.

Job Responsibilities:

  • Use your analytical skills and knowledge of lending business to assess historical trends, identify patterns, and independently deliver insights, ideas and key findings
  • Articulate risk practices to non-risk audiences through frequent interactions with Finance, Product, and Marketing, and assess the cross-functional impact on risk.
  • Act as an owner-operator, the role requires end-to-end accountability not just for ideas but for outcomes, including execution, post-launch-refinement and impact assessment
  • Develop and maintain periodic analytics to provide management with full insight into emerging trends and the quality of the originated accounts and the existing portfolio of accounts
  • Attain a detailed understanding of key performance metrics and profitability drivers, enabling the delivery of insights encompassing the full account lifecycle
  • Acquire an understanding of the operational processes (credit analysis, portfolio management, collections) which will aid in understanding performance drivers
  • Conduct ad hoc analytics and contribute to various projects representing Risk Management

Required Qualifications, Capabilities and Skills:

  • BS degree and minimum of 3 years Risk Management or other quantitative experience
  • Background in statistics, econometric, or other quantitative field
  • Advanced understanding of SAS and SQL
  • Ability to query data and transform the raw data into usable management information
  • Familiarity with risk analytic techniques
  • Strong analytical and problem-solving abilities
  • Strong written and oral communication skills
  • Experience delivering recommendations to management