Description
We are seeking a highly analytical Manager, Data Analysis to join our Data Strategy team. As a Manager, Data Analysis, you will help build the framework and manipulate/analyse large datasets to understand PULSE transaction anomalies and risk exposure.
This is a hybrid role designed for someone who speaks the language of machine learning, data architecture, and modelling, but also deeply understands regulatory frameworks, risk controls, and compliance mandates.
You will be responsible for ensuring that our data-driven strategies are not only highly effective and scalable, but also ethical, explainable, and strictly compliant with industry regulations.
Responsibilities:
- Design and implement a program for Transaction Monitoring aligned with Risk identification and modification. Build automated risk programs, isolate compromised data elements, and ensure the operational health and integrity of the PULSE network.
- Act as the primary liaison between highly technical teams (Data Engineers, Data Scientists) and non-technical stakeholders (Legal, Compliance, Executive Board).
- Partner with Data Engineering to design and optimise the architecture of risk data environments. Ensure data used for risk decisioning is accurate, accessible, and structured for advanced analytics.
- Advise product and business teams on the risk implications of new data strategies, alternative data sources, and emerging technologies.
- Drive current and future strategy by leveraging your analytical skills.
- Conduct root-cause analyses on transactions and translate complex data findings into actionable risk mitigation strategies.
- Use advanced SQL, Python, Splunk, and data visualisation for parsing high-volume transaction logs.
- Synthesise highly technical data into clear, compelling narratives and present risk exposure, incident reports, and strategic recommendations to senior leadership.
- Approach complex, ambiguous problems systematically. Deconstruct issues, challenge the status quo, and anticipate the downstream impacts of network changes.
Basic Qualifications:
- Currently has, or is in the process of obtaining a Bachelor’s Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related 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 an expectation that required degree will be obtained on or before the scheduled start date.
- At least 4 years of experience performing professional data analysis work.
- At least 4 years of experience performing programming.
Preferred Qualifications:
- Master’s Degree in a Science, Technology, Engineering, Mathematics discipline.
- At least 7 years of professional data analysis work experience.
- At least 4 years of experience with Python, R, Spark or SQL.
- At least 1 year of experience in people management.
- At least 1 year of project management experience.
- At least 1 year of experience in Tableau.
- Proficient utilising and developing within AWS service.
The minimum and maximum full-time annual salaries for this role are: Riverwoods, IL: $149,800 - $171,000 for Data Analysis Manager Chicago, IL: $149,800 - $171,000 for Data Analysis Manager Houston, TX: $149,800 - $171,000 for Data Analysis Manager
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.