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Wholesale Credit Analytics and Solutions - Allowances - Associate

Req #: 180025351
Location: Brooklyn, NY, US
Job Category: Accounting/Finance/Audit/Risk
Job Description:

JPMorgan Chase is a leading global financial services firm with assets of $2.5 trillion and operations in more than 60 countries.  The firm is a leader in investment banking, commercial banking, financial services for small business and consumers, financial transaction processing, asset management and private equity.




The Wholesale Allowance team within Wholesale Credit Analytics and Solutions is responsible for defining the Allowance methodology, producing, analyzing and validating the Wholesale portfolio allowance for held-for-investment loans and lending related commitments. The allowance-related analyses and reports are used by audiences both internal and external.


We are looking to fill an experienced Associate position within the Allowance Credit Analytics team; responsible for supporting Credit analytics for wholesale loan portfolio.



Support Credit Analytics agenda by:

  •  Leading projects involving scenario / allowance impact analyses based on inputs from senior management and/or credit risk organization
  •  Preparing Analytics pack and Quarterly reports for senior management
  •  Define requirements for creating analytics dashboard, Data visualizations (using Tableau), participate in UAT and production testing
  •  Working with the technology, LOB Controllers and other partners to implement enhancements to Scenario Analysis tool
  •  Support Analytics efforts including Peer analysis, Macro analysis, emerging risk themes, Country Risk analysis, etc. by partnering with relevant stakeholders including Country Risk, Industry specialist groups, strategists/economists etc.


  • Credit analytical skills; ability to identify and analyze credit themes and estimate impacts on wholesale allowance portfolio
  • Bachelor’s degree; concentrations in corporate finance, risk management are pluses
  •  Strong analytical skills in interpreting results and comfortable working with large volume of data
  •  Results-oriented / delivery focused; ability to deliver high-quality results under very tight deadlines
  •  Self-starter; with the ability to solve problems creatively while working in a dynamic and challenging environment
  •  Knowledge of traditional credit products and Allowance for Loan Losses will be advantageous
  •  Detail oriented and strong organizational skills
  •  Excellent communication abilities, both written and oral; comfortable with conveying specific data requests to data providers and presenting information to Senior Management
  •  Strong project management skills, and ability to collaborate with multiple points of contact in order to achieve results
  •  Strong technical skills in using Excel and Power point.


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