This role pays more than
82%
of similar roles. Most pay
$159,000–$211,787
— the shaded band above.
At the midpoint, this role pays about
$215k
versus about
$185k
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
1554 open roles
on FindRole.
Listed pay typically runs
$197,300–$225,100
across 796 roles with salary data.
Senior Manager, Data Analysis - Card Services Data joins the Card Services team to partner cross-functionally in validating business-impacting analytical tools. This role involves refining an enterprise-wide validation framework, executing projects to assess the quality and risk of tool methodologies, and identifying industry best practices for emerging technologies. The successful candidate will investigate technical issues, communicate findings through formal reports and presentations, and coach junior staff members. Key requirements include experience with open source data technologies, large data sets, and predictive analytics. Candidates must possess strong problem-solving, conceptual thinking, and leadership skills to manage multiple concurrent projects in a fast-paced environment. The role specifically addresses the technical challenge of ensuring the reliability and risk management of analytical tools within the financial services industry through rigorous statistical or econometric modeling and validation.
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 and related tasks.
What we're looking for
Must have a Bachelor's degree in a quantitative field and at least 7 years of experience performing data analytics, or a Master's degree and 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).
Data Analysis
Statistical Modeling
Open Source Data Technologies
Predictive Analytics
Data Governance
Econometrics
Statistics
Mathematics
Computer Science
Operations Research
Data Management
AWS
Big Data
Data Governance
Predictive Analytics
Statistical Modeling
Econometrics
Data Visualization
Data Quality
Data Catalog
Risk Management Frameworks