Sr. Risk Specialist

Capital One Capital One · Banking · Richmond, VA +1

This role focuses on ensuring high data quality and robust data management processes within Capital One's Operations Risk Management group, specifically in the Customer Data space. The specialist will research data issues, partner with analyst teams to deploy and monitor data quality controls, and leverage AI tools to improve processes. Responsibilities include overseeing data issue resolution, collaborating with various stakeholders, and maintaining documentation for controls. While AI tools are used for efficiency, the core function is risk and data management, not AI model development.

What you'd actually do

  1. Research data issues using SQL and other methods to determine root cause and/or patterns that would be beneficial in resolving the issues
  2. Partner with analyst teams as a subject matter expert to support the deployment, monitoring, and maintenance of new and existing suite of data quality controls to ensure high quality data for various model and analytical usages
  3. Leverage AI tools to improve processes and deliver efficiencies
  4. Ensure Data Management Activities are completed including Lineage, Change Management, Metadata, Controls, Issue Resolution, and Data Agreements
  5. Oversee data issue resolution lifecycle from identification through issue closure by collaborating with internal Tech partners, downstream usage owners and Line of Business data producers to research and remediate data exceptions

Skills

Required

  • High school diploma, GED or equivalent certification
  • At least 1 year of experience working in an agile environment
  • At least 1 year of experience in writing scripts in SQL

Nice to have

  • Bachelor's Degree
  • 1+ year of experience managing JIRA stories
  • 1+ year of experience working with enterprise data management tools such as Exchange or Data Management Systems of Record (DMSR)
  • 2+ years of experience working with common programming languages such as SQL, python, or open source technology
  • 2+ years of experience working in Anti-Money Laundering, Governance, Compliance, or Risk Management
  • Experience with Google Sheet and Excel formulas
  • Certified Anti-Money Laundering Specialist (CAMS) or Certified Fraud Examiner (CFE) Certification
  • Business Process Experience
  • Strong critical thinking skills with ability to independently problem solve issues with minimal guidance
  • Strong verbal and written communication skills
  • Strong relationship building and influencing skills, and experience working in a matrix organization

What the JD emphasized

  • ensure high quality data
  • Data Management
  • data quality controls
  • high quality data
  • Data Management Activities
  • data issue resolution
  • data producers
  • data management responsibilities
  • Enterprise Data Management Standards
  • data exceptions
  • data producers
  • data, assist with LOB research requests
  • data