Manager, Data Scientist - Credit Review

Capital One Financial

Quick summary

Work type
On-site
Location
McLean, VACharlotte, NCRichmond, VAPlano, TXRiverwoods, IL
Salary
$179,400–$204,700 / yr
Posted
5 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $180k
This role $192k
$130k most similar roles pay here $235k

This role pays more than 57% of similar roles. Most pay $145,200–$214,925 — the shaded band above. At the midpoint, this role pays about $192k versus about $180k 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 · Manager, Data Scientist - Credit Review

As a Manager of Data Science in Capital One’s Credit Review Models team, you will lead the development and maintenance of innovative solutions to defend against model failures and enhance decision-making processes. Your daily responsibilities include leveraging technologies such as Python, Conda, AWS, H2O, and Spark to analyze large datasets and build statistical models that challenge existing production models. You will collaborate closely with data scientists, credit risk experts, and product managers to deliver impactful products. Ideal candidates possess at least four years of experience in predictive modeling and excel in a collaborative environment that values innovation and continuous learning. This role requires strong technical skills, statistical expertise, creativity, and the ability to drive meaningful business outcomes within the financial services industry.

What you'll do

  • Lead the development of statistical and machine learning models to challenge existing production models.
  • Analyze large datasets using Python, Conda, AWS, H2O, Spark, and other technologies.
  • Identify hidden insights within numeric and textual data to inform business decisions.
  • Collaborate with credit risk experts and product managers to enhance model accuracy and reliability.
  • Innovate solutions that directly impact the company’s financial performance through improved modeling.

What we're looking for

  • At least 4 years of experience in predictive modeling and statistical analysis.
  • Proficiency in Python, AWS, H2O, Spark, and other data science technologies.
  • Ability to build and challenge production-level machine learning models.
  • Strong collaboration skills with cross-functional teams including data scientists and risk experts.
  • Creative problem-solving and innovation in developing new solutions.

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