Principal Associate, Data Scientist - Anti-Money Laundering

Capital One Financial

Actively hiring
McLean, VA · Richmond, VA · Chicago, IL · Plano, TX Posted 31 days ago $147,100–$167,900 / year
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At a glance

AI generated

TL;DR

The Principal Associate, Data Scientist role within the Anti-Money Laundering Modeling and Advanced Data Insights team at Capital One involves partnering with cross-functional teams to develop cutting-edge risk management products. This senior-level position requires building production-ready pipelines using Python, Conda, AWS, Spark, and other tools for data sourcing, model development, and scoring. The role entails creating machine learning models through all stages of development and fine-tuning Large Language Models (LLMs) for practical applications. Ideal candidates possess at least three years of experience in Python and SQL, along with one year of experience in developing production-grade AI systems, including vector databases and LLM fine tuning. This team tackles significant financial industry challenges by leveraging advanced analytics to combat money laundering, fraud, and other illicit activities on a large scale.

Skills

Python AWS Spark dbt LLMs vector databases RAG LangGraph LlamaIndex Conda SQL

What you'll do

  • Develop and evaluate production-grade machine learning models and AI tools.
  • Build data pipelines using Python, AWS, Spark, and other technologies.
  • Fine-tune large language models (LLMs) for specific use cases.
  • Collaborate on the design, training, evaluation, validation, and implementation of models.
  • Produce predictive models and monitoring dashboards to enhance AML program efficiency.

What we're looking for

  • At least 2 years of experience in AML modeling or related risk management domain.
  • Minimum 1 year of hands-on experience with developing and evaluating production-grade AI systems including LLMs.
  • Proficient in Python and SQL for data analysis and model development.
  • Experience with AWS, Spark, and other tools for building production-ready pipelines.
  • Ability to build, fine-tune, evaluate, customize, and deploy machine learning models.
  • Strong statistical background and innovative problem-solving skills required.

Market check

Salary context

This $147,100–$167,900 range sits above 41% of similar postings on FindRole.

Peer median band

$110,000–$202,250

Median floor and ceiling across peers.

Typical midpoint (25–75%)

$126,800–$184,900

Middle half of comparable postings.

Based on 240 comparable postings.

* 240 is the maximum number of comparable postings sampled.

Employer

About Capital One Financial

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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View all roles at Capital One Financial

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