Senior Associate, Data Scientist - Anti-money Laundering

Capital One

Chicago, IL, US
Base: $123,300 - $154,800 annually by location; bo...
Python programming experience
Aws cloud computing platform
Machine learning model development
The team is responsible for end-to-end development, deployment, and monitoring of production models to modernize AML identification processes

Job Summary

  • The team is responsible for end-to-end development, deployment, and monitoring of production models to modernize AML identification processes.
  • Candidates will leverage a broad stack including Python, AWS, Spark, and Snowflake to build production-ready data pipelines.
  • Capital One offers competitive salaries ranging from $123,300 to $154,800 depending on location, along with performance-based incentives.

Matching Summary

The team is responsible for end-to-end development, deployment, and monitoring of production models to modernize AML identification processes.

Salary

Base: $123,300 - $154,800 annually by location; Bonus/Equity: Performance based incentive compensation eligible; Benefits: Comprehensive health, financial, and well-being benefits included

Skills & Requirements

Must-have

  • Python programming experience
  • AWS cloud computing platform
  • Machine learning model development
  • SQL database querying skills
  • Statistical modeling and validation

Nice-to-have

  • Innovative research on emerging tech
  • Creative problem solving for undefined issues
  • Experience with Spark and dbt tools
  • Strong interpersonal communication skills
  • Background in deep learning or clustering

Key Requirements

  • Bachelor's degree in quantitative field plus 2 years experience
  • Master's degree in STEM or MBA with quantitative concentration
  • At least 2 years experience in Python and SQL
  • At least 2 years experience with machine learning
  • Sponsorship available for qualified applicants

Work Rights

Not specified

Sponsorship: available

Tailored Resume

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