Sr. Director, Anti Money Laundering Modeling and Data Science
Category Data Science
Experience Sr. Director
Primary Address McLean, Virginia
OverviewCenter 1 (19052), United States of America, McLean, VirginiaSr. 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.
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
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
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.
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
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
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
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).
How We Hire
We take finding great coworkers pretty seriously.
Step 1 Apply
It only takes a few minutes to complete our application and assessment.
Step 2 Screen and Schedule
If your application is a good match you’ll hear from one of our recruiters to set up a screening interview.
Step 3 Interview(s)
Now’s your chance to learn about the job, show us who you are, share why you would be a great addition to the team and determine if Capital One is the place for you.
Step 4 Decision
The team will discuss — if it’s a good fit for us and you, we’ll make it official!
How to Pick the Perfect Career Opportunity
Overwhelmed by a tough career choice? Read these tips from Devon Rollins, Senior Director of Cyber Intelligence, to help you accept the right offer with confidence.
Your wellbeing is our priority
Our benefits and total compensation package is designed for the whole person. Caring for both you and your family.
Healthy Body, Healthy Mind
You have options and we have the tools to help you decide which health plans best fit your needs.
Save Money, Make Money
Secure your present, plan for your future and reduce expenses along the way.
Time, Family and Advice
Options for your time, opportunities for your family, and advice along the way. It’s time to BeWell.
Here’s how the team fits together. We’re big on growth and knowing who and how coworkers can best support you.
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