Manager, Data Analyst - Enterprise AML Advisory

Manager, Data Analyst - Enterprise AML Advisory

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.

AML Advisory Overview:

Enterprise AML Advisory within AML Compliance fulfills the critical role of guiding our lines of businesses through day to day AML Challenges while serving as the face to the overall AML program; translating the intricate compliance needs as the LOB continues to evolve their business.

Specifically, the AML Advisory Know Your Customer Risk Management & Analytics team is a small group of resourceful and highly motivated professionals that deliver horizontal business risk guidance and program management guidance.

The Person:

• Strong critical thinking, written and verbal communication skills, including experience in strategic and senior level communication
• Demonstrated ability to work in a continually evolving and dynamic environment
• Ability to build partnerships with others outside of their own team and influence others to ensure team's success
• Exhibit drive for accomplishing tasks/delivering results and persist when faced with significant difficulties or resistance
• Strong understanding of AML risk management practices, including regulatory requirements
• Experience presenting data and recommendations to leadership teams and governance forums

What You'll Do:

• Drive current and future strategy by leveraging your analytical skills
• Work with vast amounts of data in new and evolving environments
• Build and maintain interactive dashboards used for regulatory reporting
• Develop KPIs and KRIs to show overall KYC Program Health
• Be a part of growing and developing our brand in new and emerging markets
• Analyze/interpret compliance key performance metrics and provide input on LOB AML risks identified through reporting.
• 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
• Partner with multiple groups across AML in analyzing and reporting on KYC Data

On Any Given Day

You Will Be:

• Design and produce reports/forms/metrics used to support department efficiency and effectiveness.
• Assist in capturing, maintaining, and analyzing compliance data, interpreting it to ensure consistency and adequate Compliance Risk Management.
• Identify and analyze trends in data and proactively advise on identified external and internal risks.
• 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 databases containing millions to billions of records
• Improving operational efficiencies and effectiveness
• Conducting analysis to evaluate processes and tests

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.

Basic Qualifications:

• 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
• 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…