Senior Manager, Data Analyst, Risk Management 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: 86 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 $195k

This role $215k

$157k most similar roles pay here $237k

This role pays more than 69% of similar roles. Most pay $166,487–$224,062 — the shaded band above. At the midpoint, this role pays about $215k versus about $195k 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.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Senior Manager, Data Analyst, Risk Management 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 financial services industry. In this role, you will partner cross-functionally to validate business-impacting analytical tools, refine enterprise-wide validation frameworks, and assess the quality and risk of tool methodologies across the organization. You will independently research and prototype industry best practices for emerging tools while coaching and mentoring junior staff. The position requires expertise in performing data analysis, managing people, and working with open source data technologies. Key technical competencies include statistical or econometric modeling, predictive analytics, and data governance. Candidates must be proficient in manipulating large datasets to solve complex problems. You will communicate findings through formal reports and presentations while ensuring the integrity of analytical tools used within critical business processes.

Skills

Data Analytics Statistical Modeling Econometrics Predictive Analytics Open Source Data Technologies Data Governance

What you'll do

Refine an enterprise-wide framework for validating analytical tools.
Plan and execute validation projects across the organization.
Assess the quality, risk, and methodology of analytical tools used in business 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.
Develop data-driven solutions to complex business problems.

What we're looking for

Bachelor's degree in a quantitative field with at least 7 years of data analytics experience or a Master's degree with at least 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, validating models, data governance, or predictive analytics (preferred).

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