Senior Associate, Data Scientist - Anti-money Laundering

Capital One

Chicago, IL, US
Base: $123,300 - $154,800 depending on location; b...
Python and sql programming experience
Machine learning model development and validation
Aws cloud computing platform proficiency
The team is responsible for end-to-end development, deployment, and monitoring of production models to modernize how the company identifies money laundering and fraud

Job Summary

  • The team is responsible for end-to-end development, deployment, and monitoring of production models to modernize how the company identifies money laundering and fraud.
  • Candidates will leverage a broad stack including Python, AWS, Spark, and dbt to build production-ready pipelines for data sourcing and model scoring.
  • Capital One offers a comprehensive benefits package including health, financial support, and performance-based incentive compensation such as cash bonuses and long-term incentives.

Matching Summary

The team is responsible for end-to-end development, deployment, and monitoring of production models to modernize how the company identifies money laundering and fraud.

Salary

Base: $123,300 - $154,800 depending on location; Bonus/Equity: Performance based incentive compensation available; Benefits: Comprehensive health, financial, and other benefits included

Skills & Requirements

Must-have

  • Python and SQL programming experience
  • Machine learning model development and validation
  • AWS cloud computing platform proficiency
  • Statistical modeling and backtesting skills
  • Spark and dbt data pipeline tools

Nice-to-have

  • Experience with AML or Fraud domain knowledge
  • Innovative research on emerging technologies
  • Ability to translate complex work to business goals
  • Creative problem-solving for undefined problems
  • Deep learning and time series analysis expertise

Key Requirements

  • Bachelor's degree in quantitative field plus 2 years experience
  • Master's degree in STEM or MBA with quantitative concentration
  • At least 1 year of experience in AML modeling or related domain
  • At least 2 years of experience in Python and SQL
  • At least 2 years of experience with machine learning

Work Rights

Not specified

Sponsorship: available

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