Principal Associate, Data Science - Model Risk Office

Capital One Financial

Quick summary

Work type
On-site
Location
McLean, VAChicago, ILNew York, NYPlano, TX
Salary
$147,100–$167,900 / yr
Posted
7 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $170k
This role $158k
$122k most similar roles pay here $224k

This role pays less than 65% of similar roles. Most pay $132,000–$208,800 — the shaded band above. At the midpoint, this role pays about $158k versus about $170k for comparable roles.

Based on 240 similar postings.

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 814 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 809 roles with salary data.

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View all roles at Capital One Financial

At a glance

TL;DR · Principal Associate, Data Science - Model Risk Office

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As a Principal Associate in the Model Risk Office at Capital One, you will lead teams of data scientists to develop and validate machine learning models across various business domains, ensuring they meet high standards of accuracy and reliability. Your day-to-day responsibilities include challenging existing champion models, contributing to the model governance framework, and presenting complex findings on potential risks to senior executives. Ideal candidates are innovative leaders with strong technical skills in statistics and data science, capable of leveraging advanced tools and techniques to enhance decision-making processes. This role requires expertise in machine learning, statistical analysis, and proficiency in programming languages such as Python or R, while also emphasizing the importance of interpersonal communication and collaboration within a large-scale financial institution.

Skills

Python R SQL Pandas Scikit-learn TensorFlow Keras Spark Git Jupyter CI/CD AWS Azure MLOps

What you'll do

  • Lead teams in building and validating machine learning models to challenge existing production models.
  • Contribute to the development of a robust model governance framework for future models.
  • Present complex model risks and their potential business impacts to senior executives.
  • Identify and mitigate model risks across various business domains using advanced techniques.
  • Foster innovation and creativity within data science teams to improve decision-making processes.

What we're looking for

  • Lead teams of data scientists in building and validating machine learning models.
  • Present model risks to executives with strong interpersonal skills.
  • Possess innovative and creative problem-solving abilities.
  • Have a deep understanding of statistical methods and techniques.
  • Contribute to the development of the next generation model governance framework.
  • Experience in multiple business domains is preferred.

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