Senior Data Analytics Manager, Risk & Compliance

Capital One; Riverwoods (IL); Hybrid; USD 150,000 - 171,000; Full time

Job summary

Capital One is seeking a Manager, Data Analysis to join the PULSE Risk & Compliance data strategy team in a hybrid role. You will build frameworks, manipulate large datasets, and analyze transactions to identify anomalies and risk exposure while ensuring regulatory compliance.

You will translate complex data findings for senior leadership, design robust risk data architectures, and advise on data strategies with a focus on ethical, explainable analytics and scalable solutions.

Qualifications

• Bachelor’s Degree in quantitative field plus at least 6 years of experience performing data analytics, or Master’s Degree plus at least 4 years of experience performing data analytics with degree obtained by start date.
• At least 4 years of experience performing professional data analysis work
• At least 4 years of experience performing programming

Responsibilities

• Design and implement a program for Transaction Monitoring aligned with Risk identification and modification.
• The Translator: Act as the primary liaison between technical teams and non-technical stakeholders.
• Risk Data Architecture: Partner with Data Engineering to design and optimize architecture of risk data environments.
• Strategic Advising: Advise product and business teams on risk implications of new data strategies and emerging technologies.

Skills

Python

R

Spark

SQL

Tableau

AWS

Education

Bachelor’s Degree in a quantitative field

Master’s Degree in a quantitative field

Tools

Python

R

Spark

SQL

Tableau

AWS

Job description

Capital One is seeking a Manager, Data Analysis to join the PULSE Risk & Compliance data strategy team in a hybrid role. You will build frameworks, manipulate large datasets, and analyze transactions to identify anomalies and risk exposure while ensuring regulatory compliance.

You will translate complex data findings for senior leadership, design robust risk data architectures, and advise on data strategies with a focus on ethical, explainable analytics and scalable solutions.