Senior Manager, Data Analyst, Risk Mgmt Product

Capital One Financial

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Chicago, ILRichmond, VAMcLean, VA
Salary: $200,700–$229,100 / yr
Employment: Full-time
Posted: 77 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $192k

This role $215k

$157k most similar roles pay here $237k

This role pays more than 72% of similar roles. Most pay $165,500–$218,500 — the shaded band above. At the midpoint, this role pays about $215k versus about $192k 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 1783 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 942 roles with salary data.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Senior Manager, Data Analyst, Risk Mgmt Product

Role Posting Log in to save

Sr. Manager, Data Analyst - Risk Mgmt Product joins a team focused on data-driven decision-making within the risk management product area. In this role, you will partner cross-functionally to validate business-impacting analytical tools and refine an enterprise-wide validation framework. Your daily responsibilities include planning and executing validation projects, assessing the quality and risk of tool methodologies, identifying industry best practices for emerging tools, and coaching junior staff. You will communicate findings through formal reports and presentations while managing multiple concurrent projects. The role requires expertise in data analysis, open source data technologies, statistical or econometric modeling, and predictive analytics. Candidates should possess strong problem-solving, conceptual thinking, and leadership skills. Required qualifications include a degree in a quantitative field and extensive experience in data analysis, large dataset manipulation, and financial services industry practices.

Skills

Data Analysis Statistical Modeling Econometrics Predictive Analytics Open Source Data Technologies Data Governance Large Data Sets

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 findings through clear written reports and verbal presentations.
Coach and mentor junior staff members on data analysis and team goals.
Develop solutions to complex business problems using advanced statistical and econometric models.

What we're looking for

Bachelor's degree in a quantitative field with 7 years of experience or a Master's degree with 5 years of experience in data analytics.
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).

Save