Overview

Center 1 (19052), United States of America, McLean, Virginia

Sr. Director, Anti Money Laundering Modeling and Data Science

Data is at the center of everything we do. 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.

As a Senior Data Science Leader at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.

In this role, you will:

• Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love

• Working closely with your peers to ensure that the goals and objectives of the team are well aligned with the vision and mission of AML and internally 

• Experience building, managing, and recruiting a team of high performing technical resources to work on AML surveillance models and solutions

• Experience developing a roadmap and forecast of work 18-24 months ahead and gaining support both financially and from senior leadership on the vision

• Identifying, assessing and quantifying the risks stemming from financial crime related activity within the bank through the design of effective models and controls of detecting such outlying behavioral patterns.  

• Familiarity in implementing, testing, or developing AML surveillance models for use in Retail, Small Business and Commercial and Lending Lines of Business 

• Consistent record of applying statistical rigor and techniques as it pertains to BSA/AML models

• Thorough understanding of an effective financial crimes risk management framework and developing supporting methodologies

• Demonstrated ability to run multiple projects simultaneously

• Mature managerial skills vital to successfully administer core support and critical regulatory relationship function within a diverse organization and effectively coordinate between multiple businesses and support units; as well as the ability to autonomously and initiate, and prioritize the portfolio of work for your team

• The ability to interact effectively at all levels of the organization, including stakeholders internal and external to AML Compliance

• The ability to identify, analyze, and interpret trends or patterns in extremely large complex data sets

• Organize data management output, including continual process improvements and documentation

• Communicate analytical insights clearly and concisely to individuals from diverse backgrounds up and down the organization

• Assessing, challenging, and at times defending state-of-the-art decision-making systems to internal and regulatory partners;  distilling disparate details of complex interconnected systems into concrete actions with clear business value 

• Experience working on Transaction Monitoring product implementations, such as Actimize and Mantas; preferably modern transaction monitoring systems leveraging machine learning algorithms for detection
  

The Ideal Candidate is:

• Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.

• Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea.

• A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond.

• Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.
  

Basic Qualifications:

• Bachelor’s Degree plus 10 years of experience in data analytics, or Master’s Degree plus 8 years of experience in data analytics, or PhD plus 6 years of experience in data analytics

• At least 6 years of experience in open source programming languages for large scale data analysis

• At least 8 years of experience with machine learning or advanced statistical modeling

• At least 10+ years of experience with relational databases

Preferred Qualifications:

• At least 6 years of experience with AML or other financial crime related area

• At least 6 years of experience in managing a large technical team

• At least 6 years of experience in defending regulatory models both internally and externally

• PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 5 years of experience in data analytics

• At least 1 year of experience working with AWS

• At least 5 years of experience managing people

• At least 5 years of experience in Python, Scala, or R for large scale data analysis

• At least 5 years of experience with machine learning

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

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, race, color, age, national origin, religion, physical and mental disability, genetic information, marital status, sexual orientation, gender identity/assignment, citizenship, pregnancy or maternity, protected veteran status, or any other status prohibited by applicable national, 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, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations 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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Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).