Capital One is looking to solve business problems related to credit risk management by leveraging data analytics and technical skills to innovate, build, and maintain well-managed data solutions and capabilities.
Requirements
- 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
- At least 3 years of experience in at least one scripting language
- At least 1 year of experience utilizing a business intelligence visualization tool
- At least 3 years of experience in querying and analyzing and working with data languages and platforms
- At least 2 years of experience delivering Data Governance and Data Quality Management concepts and practices within the financial services industry
Responsibilities
- 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
- 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
- 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
Other
- Degree specialized in a Science, Technology, Engineering, Mathematics discipline
- Currently has, or is in the process of obtaining a Bachelor’s Degree plus at least 5 years of experience in data analytics, or currently has, or is in the process of obtaining a Master’s Degree plus at least 3 years in data analytics, or currently has, or is in the process of obtaining a PhD
- Ability to work in a collaborative environment that values insight, encourages taking on new responsibilities, promotes continuous learning, and rewards innovation
- Expected to consistently spend three days per week in the office
- Eligibility to earn performance-based incentive compensation, which may include cash bonus(es) and/or long-term incentives (LTI)
