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CCB Risk - Home Lending - Strategic Analytics - Associate

Req #: 170107703
Location: Plano, TX, US
Job Category: Accounting/Finance/Audit/Risk
Job Description:

 

JP Morgan Chase
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with operations worldwide. The firm is a leader in investment banking, financial services for consumers and small business, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world's most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Information about JPMorgan Chase & Co. is available at http://www.jpmorganchase.com/.
 
Our Firmwide Risk Function
Our Firmwide Risk function is focused on cultivating a stronger, unified culture that embraces a sense of personal accountability for developing the highest corporate standards in governance and controls across the firm. Business priorities are built around the need to strengthen and guard the firm from the many risks we face, financial rigor, risk discipline, fostering a transparent culture and doing the right thing in every situation. We are equally focused on nurturing talent, respecting the diverse experiences that our team of Risk professionals bring and embracing an inclusive environment.
 
CCB Risk
Chase Consumer & Community Banking (CCB) serves consumers and small businesses with a broad range of financial services, including personal banking, small business banking and lending, mortgages, credit cards, payments, auto finance and investment advice. Consumer & Community Banking Risk Management partners with each CCB sub-line of business to identify, assess, prioritize and remediate risk. Types of risk that occur in consumer businesses include fraud, reputation, operational, credit, market and regulatory, among others
  
As a Risk Associate, you are expected to conduct in-depth mortgage risk data analysis for the Mortgage Banking portfolio; identify potential adverse data quality trends; conduct data impact validation and root cause analysis. 
 
Responsibilities:
  • Analyzing source data systems that are used in FASTBI sandbox processes and communicating the findings as well as make recommendations back to the team.
  • Knowledge of how to write structured query language, PLSQL, and procedures from the following database types. (Oracle, Teradata, and SQL Server.)
  • Ability to use Enterprise Guide SAS to connect to various data platforms for cross-data analysis from multiple systems.
  • General knowledge of Mortgage processes, reporting, analysis and government controls.  
  • Coordinate with data developers to help them understand data requirements and the desired end state of data tables.
  • Write test cases for newly developed data then execute those tests and communicate findings.
  • Perform impact analysis to assess impact of data source changes.
  • Excellent data analytic skills and organizational skills.
  • Ability to problem solve by analyzing, using experience and/or intuition to create pragmatic solutions
  • Investigate, troubleshoot and help provide data issue resolutions.
  • Translates stakeholder requirements into database design
  • Addressing user questions about databases. - Assisting in publication and availability
  • Analyze database in response to new functionality by summarize findings and implement recommendations
  • Promotes a constructive, positive team environment and maintains a spirit of openness, information sharing inquisitiveness, problem-solving and support for common goals
  • Ability to allocate time efficiently; handle multiple demands and competing priorities.
  • Strong time management skills, fast learner, self motivated, and comfortable taking initiative and handling multiple projects simultaneously.
 

 

  • 4+ years analytical experience in credit or risk management in general
  • Good knowledge of  SAS, or other standard statistical packages
  • Good knowledge of SQL, Unix, Teradata and other data programming languages
  • Able to spend large amount of time pulling, handling, and analyzing loan-level data
  • Good understanding of key risk metrics
  • Good communication skills; able to translate technical data into simple business presentations
  • B.A. / B.S. in Economics, Finance, Statistics, Mathematics, Operations Research or Computer Science
Preferred:
  • 5+ years in the financial services industry with bulk of the experience in credit risk management
  • M.A. / M.S. in a quantitative science 
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