Manager, Data Scientist - Credit Review

Capital One Financial

Quick summary

Work type
On-site
Location
McLean, VA · Charlotte, NC · Richmond, VA · New York, NY · Plano, TX
Salary
$179,400–$204,700 / yr
Posted
33 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $175k
This role $192k
$125k most similar roles pay here $230k

This role pays more than 59% of similar roles. Most pay $135,225–$214,500 — the shaded band above. At the midpoint, this role pays about $192k versus about $175k 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 498 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 495 roles with salary data.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Manager, Data Scientist - Credit Review

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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 while enhancing decision-making processes. Your day-to-day responsibilities include leveraging Python, Conda, AWS, H2O, Spark, and other technologies 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 are technically proficient, statistically-minded, innovative, and creative, with at least four years of experience in predictive modeling. This role offers the opportunity to work on complex financial challenges at a large scale, contributing directly to the company’s strategic goals within a collaborative and supportive environment.

Skills

Python AWS H2O Spark Conda CI/CD SQL PostgreSQL Git Jupyter Notebook Scikit-learn TensorFlow Keras Docker Kubernetes Terraform GitHub Swagger RESTful API

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 insights within numeric and textual data to inform business decisions.
  • Collaborate with credit risk experts and product managers to enhance model accuracy.
  • Innovate solutions that improve decision-making processes and impact the company's financial performance.

What we're looking for

  • At least 4 years of experience in predictive modeling.
  • Proficiency in Python and other data science tools like Conda, AWS, H2O, Spark.
  • Strong statistical background and analytical skills.
  • Experience building and challenging production machine learning models.
  • Ability to collaborate with cross-functional teams including data scientists and product managers.
  • Innovative mindset and creativity in developing new solutions.

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