Manager, Data Analysis, Risk & Compliance

Capital One Financial

Confirmed live yesterday High trust

Hybrid

Quick summary

Work type: Hybrid
Location: Houston, TXChicago, ILRiverwoods, IL
Salary: $149,800–$171,000 / yr
Employment: Full-time
Posted: 60 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $185k

This role $160k

$142k $219k

below market most similar roles pay here above market

This role pays less than 72% of similar roles. Most pay $159,562–$211,200 — the blue band above. At the midpoint, this role pays about $160k 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 2107 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 1107 roles with salary data.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Manager, Data Analysis, Risk & Compliance

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Manager, Data Analysis - PULSE Risk & Compliance joins the Data Strategy team to build frameworks for analyzing large datasets to identify PULSE transaction anomalies and risk exposure. The role involves designing automated risk programs, isolating compromised data elements, and ensuring the operational health of the PULSE network. You will act as a primary liaison between technical teams and non-technical stakeholders, translating complex findings into actionable risk mitigation strategies and executive reports. Key responsibilities include optimizing risk data architecture and conducting root-cause analyses on high-volume transaction logs. Required technical skills include advanced SQL, Python, Splunk, and data visualization. Candidates should possess experience with R, Spark, Tableau, and AWS services while navigating complex regulatory frameworks, risk controls, and compliance mandates within an evolving payment ecosystem.

Skills

Python SQL AWS Spark Tableau Splunk R Data Architecture Machine Learning Data Visualization Data Analytics Transaction Monitoring

What you'll do

Design and implement automated transaction monitoring programs to identify and mitigate risk.
Analyze large datasets using SQL, Python, and Splunk to identify transaction anomalies and risk exposure.
Partner with data engineering to design and optimize risk data architectures for advanced analytics.
Conduct root-cause analyses on transactions and translate complex findings into actionable mitigation strategies.
Act as a liaison between technical teams and non-technical stakeholders like Legal and Compliance.
Advise product and business teams on the risk implications of new data strategies and technologies.
Synthesize technical data into clear narratives and risk reports for senior leadership.
Identify and implement process, data, and reporting improvements across the organization.

What we're looking for

Bachelor’s Degree in a quantitative field plus 6 years of data analytics experience, or a Master’s Degree plus 4 years of experience.
At least 4 years of experience performing professional data analysis work.
At least 4 years of experience performing programming.
Advanced SQL, Python, Splunk, and data visualization skills for parsing high-volume transaction logs.
Deep understanding of regulatory frameworks, risk controls, and compliance mandates.
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).

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