Manager, Data Scientist - Upmarket Acquisitions Valuations

Capital One Financial

Quick summary

Work type
On-site
Location
McLean, VA
Salary
$197,300–$225,100 / yr
Posted
4 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $193k
This role $211k
$154k most similar roles pay here $233k

This role pays more than 70% of similar roles. Most pay $162,000–$224,062 — the shaded band above. At the midpoint, this role pays about $211k versus about $193k 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.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Manager, Data Scientist - Upmarket Acquisitions Valuations

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As a Manager of Data Science on the Valuations Infrastructure pod at Capital One, you will lead efforts to develop and refine valuations models that support the booking of 3 million accounts and manage $30 billion in exposure annually within the Acquisitions program. Your day-to-day responsibilities include partnering with cross-functional teams such as business analysts, data scientists, software engineers, and product managers to deliver impactful solutions. You will leverage Python, Conda, SQL, and other tools to analyze vast datasets and uncover critical insights that drive decision-making processes across various downstream teams. The ideal candidate possesses at least four years of experience in large-scale data analysis using Python or similar languages, extensive knowledge of machine learning techniques, and proficiency with SQL databases. This role requires a deep understanding of the economic dynamics within the Upmarket business and strong technical leadership skills to innovate and adjust models accordingly.

Skills

Python SQL Scala R Machine_Learning Conda

What you'll do

  • Develop and maintain valuations models for Upmarket Acquisitions.
  • Analyze economic data to inform adjustments in valuation models.
  • Collaborate with business teams to enhance model accuracy and decision-making.
  • Utilize Python, SQL, and other technologies to extract insights from large datasets.
  • Ensure valuations models support the booking of 3M accounts annually.
  • Build strong partnerships with downstream teams for effective model usage.

What we're looking for

  • At least 4 years of experience in Python, Scala, or R for large-scale data analysis.
  • Strong proficiency in machine learning and SQL.
  • Experience leveraging technologies like Python, Conda, and SQL to analyze complex data sets.
  • Ability to partner with cross-functional teams including business analysts, engineers, and product managers.
  • Demonstrated innovation and creativity in technical problem-solving.

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