Capital One

Senior Data Analyst – AML Retail Bank

Capital One

full-time

Posted on:

Location Type: Office

Location: Richmond • Virginia • 🇺🇸 United States

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Salary

💰 $99,100 - $124,400 per year

Job Level

Senior

Tech Stack

AWSInformaticaPythonSparkSQL

About the role

  • Build and maintain suspicious activity monitoring models for the Retail Bank LOB within Capital One
  • Perform statistical analysis to assess risk
  • Build and test machine learning models using Python and SQL
  • Develop data sourcing, predictive models, monitoring, and reporting using tools such as AWS, Snowflake, Python, and Spark
  • Collaborate with a cross-functional team of analysts
  • Innovate, build, and maintain well-managed data solutions and capabilities
  • Partner with the business to provide consultancy and translate business needs to develop insights and data visualization tools
  • Drive analysis that provides meaningful insights on business strategies
  • Understand and adhere to the principles of data quality management
  • Work with Tech teams to manage security mechanisms and data access governance
  • Monitor and report on data quality

Requirements

  • 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)
  • 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
  • Master’s Degree in a Science, Technology, Engineering, Mathematics discipline (preferred)
  • At least 2 years of experience coding in Python, R, Spark, or SQL (preferred)
  • At least 2 years of experience working within process management and improvement methodologies – Agile, Lean, Six Sigma, etc. (preferred)
  • At least 1 year of experience utilizing and developing within AWS services (preferred)
  • 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) (preferred)
Benefits
  • Comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
statistical analysismachine learningdata sourcingpredictive modelsdata visualizationdata quality managementscriptingdata analysisdata governanceprocess management
Soft skills
collaborationconsultancyinnovationcommunicationproblem-solving
Certifications
Master’s Degree in ScienceMaster’s Degree in TechnologyMaster’s Degree in EngineeringMaster’s Degree in Mathematics