Principal Associate, Data Scientist - Anti-Money Laundering
Capital One Financial
At a glance
AI generatedThe Principal Associate Data Scientist role within the Anti-Money Laundering Modeling and Advanced Data Insights team at Capital One involves developing predictive models and monitoring dashboards to combat money laundering, fraud, terrorist financing, and human trafficking. This senior-level position requires expertise in advanced analytics, statistics, and machine learning, with a focus on end-to-end model development, deployment, and monitoring using tools like AWS, Snowflake, Python, and Spark. Ideal candidates possess a Master’s or PhD in a STEM field along with at least one year of experience in Generative AI modeling, bringing innovative solutions to complex financial crime detection challenges.
Skills
What you'll do
What we're looking for
Market check
This $147,100–$167,900 range sits above 44% of similar postings on FindRole.
Peer median band
$110,000–$193,600
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$126,800–$182,375
Middle half of comparable postings.
Based on 240 comparable postings.
* 240 is the maximum number of comparable postings sampled.
Employer
Capital One Financial is a bank holding company specializing in credit cards, auto loans, banking, and savings products, known for its data-driven approach to consumer and commercial finance. Industry: Financial Services & Banking
Capital One Financial currently has 489 open roles on FindRole.
Listed pay typically runs $197,300–$225,100 across 483 roles with salary data.
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