Data Analytics Manager, PULSE Risk & Compliance

Capital One Financial

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Hybrid

Quick summary

Work type: Hybrid
Location: Riverwoods, ILRichmond, VAMcLean, VAChicago, ILNew York, NY
Salary: $164,800–$188,100 / yr
Employment: Full-time
Posted: 2 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $186k

This role $176k

$145k $230k

below market most similar roles pay here above market

This role pays less than 53% of similar roles. Most pay $156,775–$214,900 — the blue band above. At the midpoint, this role pays about $176k versus about $186k 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 1917 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 1045 roles with salary data.

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View all roles at Capital One Financial

At a glance

TL;DR · Data Analytics Manager, PULSE Risk & Compliance

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The Data Analytics Manager - PULSE Risk & Compliance joins the Data Strategy team to build frameworks for manipulating and analyzing large datasets. This role focuses on identifying PULSE transaction anomalies and assessing risk exposure while ensuring data-driven strategies remain ethical, explainable, and compliant with regulatory frameworks. The manager will mine data to extract crucial information, implement reporting improvements, and consult on the design of new production and data storage systems. Key responsibilities include building models to test and validate data and improving operational efficiencies. The position requires proficiency in Python, R, Spark, SQL, and Tableau, along with experience in AWS services. Candidates must possess strong problem-solving skills and a background in Business Intelligence to navigate complex databases containing millions to billions of records.

Skills

Python SQL R Spark AWS Tableau Machine Learning Data Architecture Business Intelligence Statistical Modeling Data Analytics

What you'll do

Mine large datasets to identify crucial information and transaction anomalies for the organization.
Build and use models to test and validate data for risk and compliance purposes.
Identify and implement process, data, and reporting improvements to increase operational efficiency.
Consult on the design and implementation of new production and data storage systems.
Conduct analysis to evaluate processes, tests, and product offerings.
Develop and implement strategic tests for products, initiatives, and marketing materials.
Ensure data-driven strategies are ethical, explainable, and compliant with industry regulations.

What we're looking for

Must have a Bachelor’s degree in a quantitative field plus 6 years of data analytics experience, or a Master’s degree plus 4 years.
Must have at least 4 years of experience performing professional data analysis work.
Must have at least 4 years of experience performing programming.
Master’s Degree in a Science, Technology, Engineering, Mathematics discipline (preferred).
At least 7 years of professional data analysis work experience (preferred).
At least 4 years of experience with Python, R, Spark, or SQL (preferred).
At least 1 year of experience in people management (preferred).
At least 1 year of experience in project management (preferred).

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