Principal Data Scientist, Credit Risk Management

Employer
Capital One
Location
McLean, Virginia
Posted
Jul 04, 2022
Closes
Jul 30, 2022
Ref
R132029
Function
Finance
Hours
Full Time
Center 2 (19050), United States of America, McLean, Virginia

Principal Data Scientist, Credit Risk Management

PrincipalData Scientist,Credit Risk Management

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

Have you ever seen the headline in the news " Banks Pass Federal Reserve Stress Tests " and wondered how Capital One determines how much savings (or "capital") it needs? Or maybe how we analyze the potential impact of the next recession? At the heart of these questions are sophisticated machine learning and econometric loss models that help us understand the ways in which the economy impacts our loan portfolios and guide strategic decision making at the highest levels of Capital One.

In the Credit Risk Management Modeling and Data Team, we blend cutting-edge quantitative methods with a deep understanding of our business, data, and regulatory environment to build predictive models for losses, account volumes, and outstanding balances. These models drive key strategic decisions for allowance setting, stress testing, and capital allocation as well as informing our earnings calls and recession preparedness.

If this sounds interesting to you, join us! As a Data Scientist on our team you'll be at the forefront helping us to usher in the next wave of disruption by using the latest technology to build & deploy machine learning models that leverage new data sources to provide powerful insights about our portfolio and growth opportunities. You will partner with best-in-class data scientists, analysts, and engineers to innovate solutions that directly impact the company's bottom line in a meaningful way. You will do it all in a collaborative environment that values your insight, encourages you to take on new responsibilities, promotes continuous learning, and rewards innovation.

Role Description

In this role, you will:
  • Partner with a cross-functional team of analysts, data scientists, software engineers, and product managers to deliver a product customers love
  • Leverage a broad stack of technologies - AWS, Python, Dask, Spark, and more - to reveal the insights hidden within huge volumes of 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:
  • 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.
  • 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.
  • 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.
  • A data guru. "Big data" doesn't phase you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science.


Basic Qualifications:
  • Bachelor's Degree plus 5 years of experience in data analytics, or Master's Degree plus 3 years in data analytics, or PhD
  • At least 1 year of experience in open source programming languages for large scale data analysis
  • At least 1 year of experience with machine learning
  • At least 1 year of experience with relational databases


Preferred Qualifications:
  • Master's Degree 3+ years of experience or PhD in quantitative field (Economics, Statistics, Computer Science, Applied Math, Engineering)
  • Experience with data science within a work environment
  • At least 1 year of experience working with AWS
  • At least 3 years of experience leveraging the PyData ecosystem (pandas, numpy, scikit-learn, dask)
  • At least 3 years of experience with econometrics and 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

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).

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