Senior Manager, Data Analysis - Audit

Locations: VA - Richmond, United States of America, Richmond, Virginia

Senior Manager, Data Analysis - Audit

Who we are:

At Capital One, data is at the center of everything we do. When we were a tiny startup we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and that little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. Twenty-five years after Capital One was started it's still led by its founder. Be ready to join a community where you put the customer first and want to use your data skills to make a difference.

Capital One's Audit Analytics and Innovation Team is driving the transformation of how we work in internal audit with data & technology. We define the roadmap for the department's overall data powered assurance strategy, maintain a well managed data environment, design new early stage products and services, and accelerate audit delivery through innovative methods and technologies.

The Analytics and Innovation team is a diverse, highly engaged, collaborative, cross-functional organization made up of data analysts and scientists, business analysts and auditors, who collaborate to design analytical solutions that will reinvent how we review the risk environment, enhance our coverage assurance, and increase our capacity efficiency.

What you'll do:

1. Lead your team in audit delivery assurance for a line of business, engaging with auditors, senior audit engagement owners and leadership to develop a robust analytics testing strategy.
2. Lead the efforts to create a well managed data environment for Audit data.
3. Partnering with data-focused product and reporting teams to establish and execute plans to remediate data management policy violations.
4. Independently researching, identifying, and prototyping industry best practices for emerging data trends with a goal of preventing data issues.
5. Influence our agenda for automation and product development and guide a team of analysts to identify opportunities for automating manual tasks and drive enhanced assurance.
6. Help build self service and automation solutions leveraging front end and back end technology stack including Python, Flask, Dash and RPA bots.
7. Manage multiple projects and challenging priorities with consistency and transparency, while successfully knowing which projects and components of the roadmap to tackle first.
8. Regularly present and communicate findings to senior leadership in a clear and compelling way. Lead discussions that help inform decision-making across the business.
9. Develop analytical frameworks to proactively or reactively solve business problems, create insights, perform detailed analyses, design and measure experiments, develop customer/product segmentations, forecast key KPIs, and utilize models for various business objectives.

An ideal candidate will possess strong problem solving and conceptual thinking abilities in addition to communication, interpersonal and leadership skills. This position will be in a fast-paced and entrepreneurial environment where you will be handling multiple concurrent projects while working independently and in teams.

Basic Qualifications:

1. Currently has, or is in the process of obtaining a Bachelor's Degree plus at least 7 years of experience in data analytics, or currently has, or is in the process of obtaining a Master's Degree plus at least 5 years of experience in data analytics, or currently has, or is in the process of obtaining a PhD plus at least 2 years of experience in data analytics with an expectation that required degree will be obtained on or before the scheduled start date.
2. At least 5 years of experience with professional data analysis work experience.
3. At least 2 years leading and developing with open source data technologies.
4. At least 2 years of experience in people management.

Preferred Qualifications:

1. Master's Degree or PhD in a Finance, Economics, Statistics, Mathematics, Industrial Engineering, Operations Research, or a related field.
2. At least 7 years of experience in statistical or econometrics hands-on work.
3. At least 5 years of experience manipulating and performing analysis with large data sets.
4. At least 5 years of experience in financial services industry.
5. At least 5 years of experience in developing statistical or econometric models.
6. At least 5 years of experience in validating statistical or econometric models.
7. At least 2 years of experience with data governance.
8. At least 2 years of experience with predictive analytics.

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com.

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