Senior Manager, Data Scientist - MS CLIP Valuations

Capital One Financial

Quick summary

Work type
On-site
Location
Richmond, VA · New York, NY · McLean, VA
Salary
$229,900–$262,400 / yr
Posted
3 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $177k
This role $246k
$117k most similar roles pay here $278k

This role pays more than 93% of similar roles. Most pay $139,225–$214,500 — the shaded band above. At the midpoint, this role pays about $246k versus about $177k 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 573 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 569 roles with salary data.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Senior Manager, Data Scientist - MS CLIP Valuations

As a Senior Manager of Data Science on the Mainstreet CLIP valuations team, you will lead the development and management of models that significantly impact Capital One's largest lending program, extending over $12 billion in credit annually. Your daily responsibilities include designing sophisticated credit tools using Python to enhance decision-making processes for both analysts and data scientists, collaborating closely with these teams to refine credit strategies, and driving substantial business outcomes through your technical solutions. This role requires expertise in Python and a deep understanding of credit analytics, offering an unparalleled opportunity to innovate within a high-impact environment.

What you'll do

  • Design and develop sophisticated credit tools using Python.
  • Support credit analysts in defining and implementing lending strategies.
  • Influence the P&L of Capital One's Mainstreet CLIP platform through innovative solutions.
  • Translate complex credit needs into actionable technical solutions for users.
  • Partner with data science teams to build infrastructure enabling rapid decision-making.

What we're looking for

  • Extensive experience in designing and developing sophisticated credit tools using Python.
  • Proven track record of collaborating with credit analysts to support lending strategy development.
  • Strong ability to drive significant business impact through technical solutions.
  • Expertise in translating complex needs into actionable technical solutions for diverse users.
  • Deep understanding of credit and lending strategies, enabling innovative infrastructure development.

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