Manager, Data Analysis- Commercial Underwriting and Portfolio Management org

Capital One • Richmond, VA

2d • Onsite

About The Position

At Capital One, data is at the center of everything we do. When we launched as a 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 this 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.

What you’ll do:
Drive current and future strategy by leveraging your analytical skills
Assist with building and using models to test and validate data
Develop next-generation analytical tools leveraging robotic process automation and API integration
Work with vast amounts of data in new and evolving environments
Leverage analytics to manage credit risk and mitigate losses
Be a part of the full life cycle of projects and see end results
Collaborate across business units
Work with top talent in a fast paced, entrepreneurial environment where analytics and good data are a top priority
Experience real work life balance, with little travel involved

On any given day you will be:
Mining data to arrive at specific and crucial information for the organization
Identifying and implementing process, data, and reporting improvements for the organization
Working with large and complex datasets containing thousands to millions of records
Improving operational efficiencies and effectiveness
Conducting analysis to evaluate processes and tests
Identifying opportunities for standardization, modular development, and scalability
Consulting on the design and implementation of new production and data storage systems
Developing and implementing strategic tests of products, initiatives and marketing materials

Requirements

• Currently has, or is in the process of obtaining a Bachelor’s Degree in 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 currently has, or is in the process of obtaining a 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

Nice To Haves

• 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 years of project management experience
• At least 1 year of experience in Tableau
• Proficient utilizing and developing within AWS service
• An ideal candidate will be on the leading edge of Analytical technology with a passion for the newest and most innovative tools.
• Possessing strong problem solving and conceptual thinking abilities in addition to communication, interpersonal and leadership skills are also important.
• 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.
• This role will have a strong Business Intelligence component and those with a BI background are strongly encouraged to apply.

Responsibilities

• Drive current and future strategy by leveraging your analytical skills
• Assist with building and using models to test and validate data
• Develop next-generation analytical tools leveraging robotic process automation and API integration
• Work with vast amounts of data in new and evolving environments
• Leverage analytics to manage credit risk and mitigate losses
• Be a part of the full life cycle of projects and see end results
• Collaborate across business units
• Work with top talent in a fast paced, entrepreneurial environment where analytics and good data are a top priority
• Experience real work life balance, with little travel involved
• Mining data to arrive at specific and crucial information for the organization
• Identifying and implementing process, data, and reporting improvements for the organization
• Working with large and complex datasets containing thousands to millions of records
• Improving operational efficiencies and effectiveness
• Conducting analysis to evaluate processes and tests
• Identifying opportunities for standardization, modular development, and scalability
• Consulting on the design and implementation of new production and data storage systems
• Developing and implementing strategic tests of products, initiatives and marketing materials

Benefits

• comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being
• performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)

What This Job Offers

• Job Type: Full-time
• Career Level: Manager