Senior Manager, Data Analysis

Capital One Financial

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Quick summary

Work type: On-site
Location: Richmond, VAMcLean, VA
Employment: Full-time
Posted: 101 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $187k

$133k most similar roles pay here $235k

This listing doesn't post a salary. Most similar roles pay $159,000–$214,562.

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 1554 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 796 roles with salary data.

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At a glance

TL;DR · Senior Manager, Data Analysis

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Senior Manager, Data Analysis will join a large team of analysts and scientists to partner cross-functionally with various departments to validate business impacting analytical tools. The role involves refining an enterprise-wide validation framework, planning and executing projects, and assessing the quality and risk of tool methodologies across the organization. You will research and prototype industry best practices for emerging tools while communicating results through reports and presentations. Key responsibilities include coaching junior staff and solving complex business problems. Required skills include experience with open source data technologies, large data sets, predictive analytics, and data governance. The role requires expertise in statistical or econometric modeling and analysis within the financial services industry. Candidates must possess strong problem-solving, conceptual thinking, and leadership abilities to manage multiple concurrent projects in a fast-paced environment.

Skills

Data Analysis Statistical Modeling Open Source Data Technologies Predictive Analytics Data Governance Econometrics Statistics Mathematics Computer Science Operations Research

What you'll do

Refine an enterprise-wide analytical tools validation framework.
Plan and execute complex validation projects across the organization.
Assess the quality, risk, and methodology of various analytical tools.
Identify and prototype industry best practices for emerging analytical tools.
Communicate technical results through written reports and verbal presentations.
Develop innovative solutions to solve core business problems.
Coach and mentor junior staff members.

What we're looking for

Bachelor's degree in a quantitative field plus 7 years of data analytics experience, or a Master's degree plus 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 Finance, Economics, Statistics, Mathematics, Industrial Engineering, Operations Research, or a 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, model validation, data governance, or predictive analytics (preferred).

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