Principal Associate, Data Scientist - Anti-money Laundering Modeling And Advanced Data Insights

Capital One

Chicago, IL, US
Chicago, il: $147,100 - $167,900; mclean, va: $161...
Machine learning models
Python
AWS
The Anti-Money Laundering (AML) Modeling and Advanced Data Insights team is modernizing how Capital One identifies illicit financial activities using advanced analytics and machine learning

Job Summary

  • The Anti-Money Laundering (AML) Modeling and Advanced Data Insights team is modernizing how Capital One identifies illicit financial activities using advanced analytics and machine learning.
  • As a Data Scientist, you will partner with a cross-functional team to build and deploy machine learning models through all phases of development using a broad stack of technologies.
  • Capital One is a Fortune 200 company that uses data-driven decision-making to personalize offers and improve financial lives.

Matching Summary

The Anti-Money Laundering (AML) Modeling and Advanced Data Insights team is modernizing how Capital One identifies illicit financial activities using advanced analytics and machine learning.

Salary

Chicago, IL: $147,100 - $167,900; McLean, VA: $161,800 - $184,600; Richmond, VA: $147,100 - $167,900; Bonus/Equity: performance based incentive compensation; Benefits: comprehensive, competitive, and inclusive set of health, financial and other benefits

Skills & Requirements

Must-have

  • machine learning models
  • Python
  • AWS
  • Spark
  • Snowflake
  • transaction monitoring

Nice-to-have

  • innovative
  • creative
  • statistically-minded
  • emerging technologies
  • define big problems

Key Requirements

  • Bachelor's Degree + 5 years data analytics
  • Master's Degree + 3 years data analytics
  • PhD + 0 years data analytics
  • 3 years Python, Scala, or R
  • 3 years machine learning
  • 3 years SQL
  • 1 year AWS

Work Rights

Not specified

Sponsorship: available

Tailored Resume

Cover Letter