Senior Data Analyst- Risk Management

Capital One • McLean, VA

246d • $109,000 - $124,400

About The Position

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. Risk Management is an enterprise-wide second line function that helps drive and shape the company's risk position. Through various departments like Enterprise, Operational, Financial, Technology, and Credit Risk, Capital One's risk organizations develop programs to identify and mitigate threats and uncertainties that could negatively impact the company. Instrumental to the success of these programs are the impacts analytics has on the design and implementation stages. As a Data Analyst at Capital One you will leverage analytic and technical skills to innovate, build, and maintain well-managed data solutions and capabilities to tackle business problems.

Requirements

• 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 2 years of experience performing data analytics, or currently has, or is in the process of obtaining a Master's Degree with an expectation that required degree will be obtained on or before the scheduled start date.
• At least 1 year of experience working with at least one scripting language.
• At least 1 year of experience utilizing business intelligence visualization tool.
• At least 1 year of experience querying, analyzing and working with data languages and platforms.

Nice To Haves

• Master's Degree in a Science, Technology, Engineering, Mathematics discipline.
• At least 2 years of experience coding in Python, R, Spark, or SQL.
• At least 2 years of experience working within process management and improvement methodologies - Agile, Lean, Six Sigma, etc.
• At least 1 year of experience utilizing and developing within AWS services.
• At least 1 year of experience working with and demonstrating knowledge of data governance, data quality management concepts and data quality tools (i.e. Informatica DQ).

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

Benefits

• Comprehensive health benefits.
• Financial benefits including performance-based incentive compensation.
• Inclusive set of benefits that support total well-being.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Credit Intermediation and Related Activities
• Education Level: Bachelor's degree