Senior Data Analyst (Anti-Money Laundering)

Capital One; Richmond (VA); On-site; USD 99,100 - 113,100; Full time

Benefits offered by this job

Competitive health benefits

Performance-based incentives

Job summary

A leading financial institution is seeking a Senior Data Analyst to join its Anti-Money Laundering team. This role involves modernizing the detection of financial crimes through advanced data analytics, including the use of Python, SQL, and machine learning techniques. The ideal candidate has a background in data analytics with hands-on experience in data management and visualization. Compensation for this role ranges from $99,100 to $113,100 in Richmond, VA.

Qualifications

• Minimum 2 years of data analytics experience.
• Experience with scripting languages and business-intelligence visualization tools.
• Hands-on experience with data platforms.

Responsibilities

• Mine complex data; build data solutions and tools.
• Translate requirements into dashboards and data visualizations.
• Maintain data quality and collaborate with technology teams.

Skills

Data analytics

Python

SQL

R

Spark

AWS

Business intelligence

Education

Bachelor’s degree in a quantitative field

Master’s degree in a STEM discipline

Tools

Snowflake

Informatica DQ

Job description

Senior Data Analyst (Anti-Money Laundering)

Join to apply for the Senior Data Analyst (Anti-Money Laundering) role at Capital One. At Capital One, data is at the center of everything we do. Our Anti-Money Laundering (AML) Modeling and Advanced Data Insights team is modernizing the way the company identifies potential money laundering, terrorist financing, and human trafficking through advanced analytics, statistics, and machine learning models.

About the Organization

The Model Development team builds and maintains suspicious activity monitoring models for the Retail Bank line of business. The Data Analyst will work cross‑functionally with analysts to assess risk, develop models, and deliver insights using AWS, Snowflake, Python, Spark, and SQL.

Core Responsibilities

• Innovation: Use open‑source and digital technologies to mine complex, voluminous data; build well‑managed data solutions and tools to enable self‑service frameworks.
• Business Intelligence: Partner with business stakeholders to translate requirements into dashboards and data visualizations; drive analysis that informs business strategy.
• Data Management: Maintain data quality, metadata lineage, and governance; collaborate with technology teams on security and data access; monitor and report on data quality.

Ideal Candidate Profile

• Degree in a STEM discipline.
• Experience with Python, R, Spark, and SQL scripting.
• Hands‑on experience with data warehouses (SQL), unstructured data, and Snowflake services.

Basic Qualifications

• Bachelor’s degree in a quantitative field and at least 2 years of data analytics experience, or a Master’s degree with the expectation of completion before the start date.
• Minimum 1 year of experience with a scripting language and with business‑intelligence visualization tools.
• Minimum 1 year of experience querying, analyzing, and working with data platforms.

Preferred Qualifications

• Master’s degree in a STEM discipline.
• At least 2 years of coding experience in Python, R, Spark, or SQL.
• 2+ years of experience with Agile or Lean process improvement methodologies.
• 1+ year of experience with AWS services.
• Knowledge of data governance, data quality management concepts, and data quality tools such as Informatica DQ.

Compensation

• McLean, VA: $109,000 – $124,400
• Richmond, VA: $99,100 – $113,100

Benefits

Capital One offers a competitive set of health, financial, and other benefits. This role may also be eligible for performance‑based incentives and long‑term incentives.

Equal Opportunity Statement

Capital One is an equal opportunity employer (EOE, including disability/veteran) committed to non‑discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug‑free workplace and will consider qualified applicants for employment authorisation.