Senior Manager, Data Analysis - Enterprise Data Risk Management (EDRM)

Senior Manager, Data Analysis - Enterprise Data Risk Management (EDRM)

At Capital One, data is at the center of everything we do. When we launched as a startup we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.

As a Senior Data Analysis Manager at EDRM, you will apply your analytic and technical skills to innovate, build, and maintain robust data solutions to address complex risk management challenges. Collaborating with peer Data Analysts, Data Scientists and Risk Managers, you will define critical metrics to drive enterprise level decision-making and foster enterprise growth and resiliency. Your deep understanding of the data ecosystem and innovative approach will transform our risk analytics into the enterprise’s primary source of strategic intelligence.

On any given day you will be challenged on three types of work – Innovation, Business Intelligence and Data Management:

Innovation

• Use Open Source/Digital technologies to mine complex, voluminous, and different varieties of data sources and platforms

• Build well-managed data solutions, tools, and capabilities to enable self-service frameworks for data consumers

• Demonstrate ability to explore and quickly grasp new technologies to progress varied initiatives

Business Intelligence

• Partner with the business to provide consultancy and translate the business needs to design and develop tools, techniques, metrics, and dashboards for insights and data visualization

• Drive analysis that provides meaningful insights on business strategies

Data Management

• Drive an understanding and adherence to the principles of data quality management including metadata, lineage, and business definitions

• Work collaboratively with appropriate Tech teams to manage security mechanisms and data access governance

• Build and execute tools to monitor and report on data quality

Our ideal candidate will have:

• Degree specialized in a Science, Technology, Engineering, Mathematics discipline

• Scripting experience in (Python, R, Spark, and SQL)

• Strong desire and experience with data in various forms (data warehouses/SQL, unstructured data)

• Experience utilizing and developing within AWS services

Basic Qualifications:

• Currently has, or is in the process of obtaining a:

  • Bachelor’s Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 7 years of experience performing data analytics, or 

  • Master’s Degree plus at least 5 years of experience performing data analytics with an expectation that required degree will be obtained on or before the scheduled start date.

• At least 5 years of experience performing professional data analysis work

• At least 5 years of experience leading and developing with open source data technologies 

• At least 2 years of experience managing people

Preferred Qualifications:

• Master’s Degree or PhD in a Finance, Economics, Statistics, Mathematics, Industrial Engineering, Operations Research, or a related field 

• 7 years of experience in statistical or econometrics hands-on work 

• 5 years of experience manipulating and performing analysis with large data sets 

• 5 years of experience in financial services industry 

• 5 years of experience in developing statistical or econometric models 

• 5 years of experience in validating statistical or econometric models 

• 2 years of experience with data governance or risk management

• 2 years of experience with predictive analytics 

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 

This role is Hybrid, with associates expected to consistently spend three days per week in the of