The role involves developing and deploying machine learning models for anti-money laundering leveraging advanced analytics statistics and large datasets while collaborating with cross-functional teams.

Principal Associate Data Scientist - Anti-Money Laundering Modeling and Advanced Data Insights
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 Data Scientist 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.
Team Description
The Anti-Money Laundering (AML) Modeling and Advanced Data Insights team is on a journey to modernize the way Capital One identifies potential money laundering fraud terrorist financing and human trafficking through the use of advanced analytic techniques statistics and machine learning models. We develop predictive models monitoring dashboards and reporting using tools such as AWS Snowflake Python and Spark. Our team produces the model outputs and data insights to operate our AML program efficiently and effectively. As the model developer for advancing transaction monitoring with machine learning our team is responsible for end to end development deployment and monitoring of production models.
Role Description
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
• Leverage a broad stack of technologies - Python Conda AWS H2O Spark and more - to reveal the insights hidden within huge volumes of numeric and textual data
• Build machine learning models through all phases of development from design through training evaluation validation and implementation
• Flex your interpersonal skills to translate the complexity of your work into tangible business goals

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.
• 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.
• Statistically-minded. You've built models validated them and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering classification sentiment analysis time series and deep learning.

Basic Qualifications:

• Currently has or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:
  
  • A Bachelor's Degree in a quantitative field (Statistics Economics Operations Research Analytics Mathematics Computer Science or a related quantitative field) plus 5 years of experience performing data analytics
  • A Master's Degree in a quantitative field (Statistics Economics Operations Research Analytics Mathematics Computer Science or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics
  • A PhD in a quantitative field (Statistics Economics Operations Research Analytics Mathematics Computer Science or a related quantitative field)

Preferred Qualifications:

• Master's Degree in Economics or other "STEM" field (Science Technology Engineering or Mathematics) plus 3 years of experience in data analytics or PhD in Economics or other "STEM" field (Science Technology Engineering or Mathematics)
• At least 3 years' experience in Python Scala or R
• At least 3 years' experience with machine learning
• At least 3 years' experience with SQL
• At least 1 year of experience working with AWS
• At least 1 year of experience with development of Generative AI models

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
The minimum and maximum full-time annual salaries for this role are listed below by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
Chicago IL: $147100 - $167900 for Princ Associate Data Science
McLean VA: $161800 - $184600 for Princ Associate Data Science
Richmond VA: $147100 - $167900 for Princ Associate Data Science
Candidates hired to work in other locations will be subject to the pay range associated with that location and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.
This role is also eligible to earn performance based incentive compensation which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
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 (EOE including disability/vet) committed to non-discrimination in compliance with applicable federal state and local laws. 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 [email protected] . 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 [email protected]
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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).