JPMorgan Risk Architecture - Vice President 

United States, Ohio 

82990772

As a part of the Risk Architecture team you will participate in data reconnaissance and exploratory work locating valuable information in data, run analyses to transform and enrich the data, and construct the usable data into an optimally designed data product. You get to participate in the development and optimization of Customer Analytical Data products, including: conceptual, logical, physical and semantic design, testing, performance tuning, maintaining the metadata and lineage reports, and hand off to operational support teams. You will also lead the UAT efforts in out cloud journey(AWS) and DataBricks(DBX).

Job Responsibilities:

• Work with stakeholders to develop requirements for creating new attributes
• Conduct requirement grooming sessions with the development teams
• Develop and execute UAT test cases
• Work with the Data Review Board to get attributes certified
• Research and remediate data issues in the existing attributes
• Create metadata and lineage reports

Required Qualifications, Capabilities and skills:

• Expert in SQL with experience in Unix and Hadoop/Hive
• Expert in developing process flows and documenting metadata
• Experience in developing web interfaces (SharePoint, Confluence, etc.)
• Experience in understanding and following the Agile methodology
• Experience with AWS tools (AAAS and Data Bricks preferred)
• Experience with Data Quality monitoring and reconciliation processes
• Degree in a quantitative field: Computer Science, Statistics, Applied Mathematics, Econometrics, Biostatistics, Operations Research, Computing and Information Theory, Industrial / Electrical Engineering, Information Systems, or equivalent
• Experience managing the performance of a high impact team of product analysts

Preferred Qualifications, Capabilities and Skills:

• AWS practitioner Certification
• Knowledge of banking data and concepts
• Comfortable manipulating and summarizing large quantities of data
• Ability to deliver high-quality results under tight deadlines