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CCB - Risk Analytics - Sr. Data Engineer - Vice President

Req #: 180031804
Location: Columbus, OH, US
Job Category: Accounting/Finance/Audit/Risk
Potential Referral Amount: 5000 US Dollar (USD)
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. 
This position is part of the CCB Risk Analytics organization within Consumer & Community Banking Risk Management.  Our mission is to make better customer-level risk decisions through the use of data from across all of the Retail and Wholesale customer bases within the Consumer & Community Bank and the Commercial Bank
 
Description
                                                               
Senior Data Engineers on the Data Infrastructure & Engineering team are responsible for driving critical cross-functional projects in support of designing, building, and implementing data products to be used in analysis and/or production risk models and strategies.  The candidate must exhibit a thorough understanding of data structures, data manipulation, and data quality management. In addition, the candidate must have a solid understanding of CCB businesses, functions, systems, data environments, and processes that are necessary for the production and utilization of customer data.
 
The candidate must have the ability to partner with stakeholders inside and outside of the department to understand their needs and design and develop robust analytical data solutions that meet and/or exceed customer expectations.  The ideal candidate will possess JPM institutional data and system knowledge, technical skills, an understanding of data science, and a commitment to producing high quality results.
 
 
Educational Requirement
 
Degree in a quantitative field:  Information Systems, Computer Science, Statistics, Applied Mathematics, Econometrics, Biostatistics, Operations Research, Computing and Information Theory, Industrial / Electrical Engineering, or equivalent
 
Required Skills
 
  • 7+ years of experience in risk data management, business analysis, or business reporting
  • A strong desire to learn how performance is measured across the various businesses we support
  • Expert in SQL, Unix, and at least one of: SAS, R, Hive, SparkSQL, Sqoop, or other query languages
  • Experience in SQL tuning, data validation, ETL process as well as logical, physical, and semantic data modeling
  • Experience working in large-scale corporate data environments resolving inconsistencies and challenges in the data
  • Experience working with enterprise databases such as Oracle, DB2 and Teradata
  • Excellent presentation and facilitation skills
  • Excellent oral and written communication skills
  • Must have ability to deliver high-quality results under tight deadlines and be comfortable manipulating and summarizing large quantities of data
  • Expert knowledge of the business lending lifecycle
  • Ability to work effectively and gain respect of key partners both inside and outside of the organization
  • Ability to lead and persuade others while positively influencing the outcome of team efforts
  • Powerful communicator who engages colleagues, business partners, external stakeholders, and employees.
 
 
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