Senior Manager, Data Analysis

Capital One Financial

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
McLean, VARichmond, VA
Salary
$200,700–$229,100 / yr
Employment
Full-time
Posted
35 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $193k
This role $215k
$149k most similar roles pay here $238k

This role pays more than 70% of similar roles. Most pay $165,500–$220,100 — the shaded band above. At the midpoint, this role pays about $215k 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 1435 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 702 roles with salary data.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Senior Manager, Data Analysis

As a Sr. Manager, Data Analysis, you will join a large network of analysts and scientists to partner cross-functionally with various teams to validate business-impacting analytical tools. Your daily responsibilities include refining enterprise-wide validation frameworks, executing projects to assess the quality and risk of tool methodologies, and researching industry best practices for emerging technologies. You will also communicate findings through formal reports and presentations while coaching and mentoring junior staff members. The role requires expertise in statistical or econometric modeling, predictive analytics, and data governance within a financial services context. To succeed, you must demonstrate proficiency in manipulating large datasets using open source data technologies. Essential skills include strong problem-solving, conceptual thinking, and the ability to manage multiple concurrent projects while addressing technical issues and risks inherent in complex analytical tool usage.

What you'll do

  • Refine an enterprise-wide framework for validating analytical tools.
  • Plan and execute validation projects across various business units.
  • Assess the quality, risk, and methodology of analytical tools used in company processes.
  • Identify and prototype industry best practices for emerging analytical tools.
  • Communicate technical results through clear written reports and verbal presentations.
  • Coach and mentor junior staff members on data analysis tasks.
  • Develop solutions to complex business problems using internal expertise and training.

What we're looking for

  • Must have a Bachelor's degree in a quantitative field with 7 years of data analytics experience or a Master's degree with 5 years of experience.
  • At least 5 years of experience performing professional data analysis work.
  • At least 5 years of experience leading and developing with open source data technologies.
  • At least 2 years of experience managing people.
  • Master’s Degree or PhD in a Finance, Economics, Statistics, Mathematics, Industrial Engineering, Operations Research, or related field (preferred).
  • At least 7 years of experience in statistical or econometrics hands-on work (preferred).
  • At least 5 years of experience manipulating and performing analysis with large data sets (preferred).
  • Experience in financial services, validating models, data governance, or predictive analytics (preferred).

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