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Capital One National Association

Principal Data Analyst - Credit Risk and Innovation

Capital One National Association, Mc Lean, Virginia, us, 22107

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Overview

Principal Data Analyst - Credit Risk and Innovation 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. This role sits within Capital One’s Credit Review, providing independent and objective assurance relative to credit risk management. You will partner with credit reviewers, data scientists, product managers and engineers to drive solutions that impact the company’s bottom line. The environment values insight, continuous learning, and innovation, with opportunities to take on new responsibilities. This role focuses on three areas of work – Innovation, Business Intelligence and Data Management. Responsibilities

Innovation : Use Open Source/Digital technologies to mine complex, voluminous, and varied data sources and platforms. Build well-managed data solutions, tools, and capabilities to enable self-service frameworks for data consumers. Demonstrate the ability to explore and quickly grasp new technologies to progress varied initiatives. Business Intelligence : Partner with the business to translate needs into designed tools, techniques, metrics, and dashboards for insights and data visualization. Drive analysis that provides meaningful insights on business strategies. Data Management : Promote adherence to data quality management principles including metadata, lineage, and business definitions. Collaborate with Tech teams to manage security mechanisms and data access governance. Build and execute tools to monitor and report on data quality. Qualifications

Ideal candidate : Degree in Science, Technology, Engineering, Mathematics. Scripting experience in Python, R, Spark, and SQL. Strong experience with data in various forms (data warehouses/SQL, unstructured data). Experience utilizing and developing within AWS services. Basic Qualifications

Currently has, or is pursuing a Bachelor’s Degree with at least 5 years of data analytics experience, or a Master’s with at least 3 years, or a PhD with required degree to be obtained by start date. At least 3 years of experience in at least one scripting language. At least 1 year of experience using a business intelligence/visualization tool. At least 3 years of experience in querying, analyzing, and working with data languages and platforms. Preferred Qualifications

Master’s Degree in a STEM field. At least 4 years of experience coding in Python, R, Spark, or SQL. At least 4 years of experience with process management/improvement methodologies (e.g., Agile, Lean, Six Sigma). At least 2 years of experience using AWS services. At least 2 years of experience delivering Data Governance and Data Quality Management concepts in financial services. Location, Compensation and Benefits

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. This role is Hybrid, with associates expected to spend three days per week in the office. Salary ranges by location are posted in the job listing (e.g., McLean, VA: $127,500 - $145,500; Richmond, VA: $115,900 - $132,200; Riverwoods, IL: $115,900 - $132,200; Chicago, IL: $115,900 - $132,200). Other locations follow the applicable location’s pay range. This role is eligible for performance-based incentive compensation, which may include cash bonuses and/or long-term incentives (LTI). Capital One offers a comprehensive benefits package that supports total well-being. Eligibility varies by status. This role is expected to accept applications for a minimum of 5 business days. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable laws. Capital One promotes a drug-free workplace. Background inquiries will be conducted as required by law. If you require accommodations during the application process, please contact Capital One Recruiting at 1-800-304-9102 or via email (Accommodation requests are handled in accordance with applicable laws). Capital One does not provide, endorse nor guarantee third-party products or services information available through this site. Capital One Financial is made up of several entities. Positions posted may be for Capital One entities in different regions.

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