Capital One
Senior Data Analyst (Anti-Money Laundering)
Join Capital One as a Senior Data Analyst in our Anti-Money Laundering (AML) Modeling and Advanced Data Insights team. This team is responsible for modernizing how Capital One identifies potential money laundering, terrorist financing, and human trafficking through advanced analytics, statistics, and machine learning.
About the organization Capital One is a Fortune 200 company and a leader in data-driven decision-making. Our AML team builds and maintains suspicious activity monitoring models for the Retail Bank LOB. As a data analyst you will build, test, and maintain these models using Python, SQL, Snowflake, AWS, and Spark.
Key Responsibilities Innovation
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.
Business Intelligence
Partner with the business to provide consultancy and translate the business needs into tools, techniques, metrics, and dashboards for insights and data visualization.
Drive analysis that provides meaningful insights on business strategies.
Data Management
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.
Candidate Profile
Degree specialized in a Science, Technology, Engineering, or Mathematics discipline.
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 Snowflake services.
Basic Qualifications
Currently has, or is in the process of obtaining a Bachelor’s Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or related) plus at least 2 years of experience performing data analytics, or a Master’s Degree with expected completion before the start date.
At least 1 year of experience working with at least one scripting language.
At least 1 year of experience utilizing a business intelligence visualization tool.
At least 1 year of experience querying, analyzing, and working with data languages and platforms.
Preferred Qualifications
Master’s Degree in a Science, Technology, Engineering, or 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 (e.g., Informatica DQ).
Compensation & Benefits McLean, VA: $109,000 - $124,400. Richmond, VA: $99,100 - $113,100. (If hired in other locations, compensation will reflect the appropriate locality.)
This role is eligible for performance-based incentive compensation, long-term incentives, and a comprehensive benefits package. The minimum and maximum full-time annual salaries are listed above.
Employment Details Full-time, Mid-Senior level.
Equal Opportunity Employer Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug‑free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries.
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About the organization Capital One is a Fortune 200 company and a leader in data-driven decision-making. Our AML team builds and maintains suspicious activity monitoring models for the Retail Bank LOB. As a data analyst you will build, test, and maintain these models using Python, SQL, Snowflake, AWS, and Spark.
Key Responsibilities Innovation
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.
Business Intelligence
Partner with the business to provide consultancy and translate the business needs into tools, techniques, metrics, and dashboards for insights and data visualization.
Drive analysis that provides meaningful insights on business strategies.
Data Management
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.
Candidate Profile
Degree specialized in a Science, Technology, Engineering, or Mathematics discipline.
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 Snowflake services.
Basic Qualifications
Currently has, or is in the process of obtaining a Bachelor’s Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or related) plus at least 2 years of experience performing data analytics, or a Master’s Degree with expected completion before the start date.
At least 1 year of experience working with at least one scripting language.
At least 1 year of experience utilizing a business intelligence visualization tool.
At least 1 year of experience querying, analyzing, and working with data languages and platforms.
Preferred Qualifications
Master’s Degree in a Science, Technology, Engineering, or 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 (e.g., Informatica DQ).
Compensation & Benefits McLean, VA: $109,000 - $124,400. Richmond, VA: $99,100 - $113,100. (If hired in other locations, compensation will reflect the appropriate locality.)
This role is eligible for performance-based incentive compensation, long-term incentives, and a comprehensive benefits package. The minimum and maximum full-time annual salaries are listed above.
Employment Details Full-time, Mid-Senior level.
Equal Opportunity Employer Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug‑free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries.
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