Manager, Data Science - Model Risk Office

Capital One Financial

Actively hiring
McLean, VA · Riverwoods, IL Posted 11 days ago $197,300–$225,100 / year
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At a glance

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TL;DR

Capital One seeks a Manager to join its Model Risk Office team, focusing on validating payment network business models such as fraud risk, Anti-Money Laundering (AML), counterparty risk, and financial models. This role involves independent model validations in line with regulatory standards, assessing rule-based systems, statistical models, and machine learning techniques like Gradient Boosting and Random Forests. The ideal candidate will stay updated on analytical technology trends, understand business processes related to model use, and communicate complex technical concepts clearly to diverse stakeholders. Key responsibilities include maintaining documentation quality, applying best practices for continuous improvement, and leveraging open-source tools to enhance existing frameworks. Candidates should possess strong statistical skills, be adept with big data, and have a passion for innovative analytical technologies.

Skills

Python SQL R Gradient Boosting Random Forest Machine Learning Statistical Models AML Fraud Detection Model Validation Econometric Modeling Documentation Open Source Technologies CI/CD

What you'll do

  • Perform independent validations of payment network models according to regulatory standards.
  • Validate fraud and AML modeling approaches using rule-based systems, statistical methods, and machine learning techniques.
  • Stay updated with the latest analytical technologies and tools in model validation.
  • Communicate complex technical concepts clearly to non-specialist audiences and senior management.
  • Continuously improve model efficiency and accuracy through best practices application.
  • Develop transparent documentation for models and validation processes.

What we're looking for

  • Extensive experience in validating payment network models, including fraud and AML.
  • Proficiency in rule-based systems, statistical models, and machine learning techniques like Gradient Boosting and Random Forest.
  • Strong communication skills to convey complex technical concepts to non-specialist audiences.
  • Deep understanding of econometric, statistical, and machine learning modeling techniques.
  • Ability to leverage open-source technologies for continuous model improvement and risk assessment.
  • Experience in developing and maintaining transparent documentation for models and validation processes.

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 535 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 531 roles with salary data.

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