Manager, Data Scientist, Business Cards & Payments Credit Infrastructure

Capital One Financial

Quick summary

Work type: On-site
Location: McLean, VA
Salary: $197,300–$225,100 / yr
Posted: 9 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $191k

This role $211k

$149k most similar roles pay here $233k

This role pays more than 69% of similar roles. Most pay $157,500–$224,062 — the shaded band above. At the midpoint, this role pays about $211k versus about $191k 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 719 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 712 roles with salary data.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Manager, Data Scientist, Business Cards & Payments Credit Infrastructure

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The Manager, Data Scientist role within the Business Cards & Payments Credit Infrastructure Team involves leading the development of robust valuations models and advanced analytics tools to support credit card acquisitions. This senior-level position requires a candidate who is customer-focused, creative, technically proficient, and adept at managing people or projects. Day-to-day responsibilities include leveraging Python, Scala, R, SQL, and machine learning techniques to analyze large datasets and build scalable solutions for the organization’s credit programs. The ideal candidate will have at least four years of experience in data analysis with Python, Scala, or R, extensive knowledge of machine learning algorithms, and proficiency in SQL. Additionally, a year of management or project leadership experience is preferred, ensuring that this role plays a crucial part in solving complex business problems within the BCP organization.

Skills

Python Scala R SQL machine learning

What you'll do

Develop and maintain robust valuations models for credit card acquisitions.
Create advanced analytics tools to support the use of valuation models.
Monitor and improve existing systems for credit infrastructure.
Lead a team in developing end-to-end solutions for credit programs.
Utilize Python, Scala, or R for large-scale data analysis tasks.
Apply machine learning techniques to enhance predictive modeling accuracy.
Manage projects and ensure timely delivery of analytical tools.

What we're looking for

At least 4 years of experience in Python, Scala, or R for large-scale data analysis.
At least 4 years of experience with machine learning and SQL.
Strong statistical skills and technical proficiency.
Experience in people management or project management.
Ability to develop robust valuations models and tools.

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