Center 2 (19050), United States of America, McLean, Virginia

　　Principal Associate, Quantitative Analysis

　　At Capital One 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 Quantitative Analyst 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 cloud 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.

　　As a Principal Associate of Quantitative Analysis within the Model Risk Office, you will be part of the validation team responsible for balance sheet forecasting and economic stress test models used to determine capital requirements for Capital One's balance sheet items, including commercial and consumer loans. Validations cover all aspects of model development and performance and include forward-looking advancements in modeling capabilities and quality. With a network of over 500 quantitative analysts, data scientists and statisticians, we’ve created a dynamic environment with ample opportunities for learning and growth.

　　Responsibilities and Skills:

　　Partner with various lines of business to enhance modeling and analytical framework

　　Work across Capital One entities to create novel analytical solutions to the challenging business problems

　　Identify opportunities to apply quantitative methods and automation solutions to improve business performance and process efficiencies

　　Collaborate in a cross-disciplinary team to build cloud-based solutions grounded in data

　　Identify opportunities to apply quantitative methods or machine learning to improve business performance

　　Apply deep expertise in econometric, statistical and machine learning methods to generate critical insights and decision frameworks for our business and customers

　　Provide technical guidance to business leadership

　　Communicate technical subject matter clearly and concisely to a wide range of audiences

　　Expertise in quantitative analysis is central to our success in all markets. Our modelers thrive in a culture of mutual respect, excellence and innovation.

　　Successful candidates will possess:

　　Strong understanding of quantitative analysis methods in relation to financial institutions

　　Experience utilizing model estimation tools

　　Ability to clearly communicate modeling results to a wide range of audiences

　　Drive to develop and maintain high quality and transparent model documentation

　　Strong written and verbal communication skills

　　Strong presentation skills

　　Ability to fully own the model development process: from conceptualization through data exploration, model selection, validation, deployment, business user training, and monitoring

　　Proficiency in key econometric and statistical techniques (predictive modeling, OLS regression, panel data models, design of experiments, decision trees, machine learning methods)

　　Basic Qualifications:

　　Currently has, or is in the process of obtaining a Bachelor’s Degree plus at least 5 years of experience in data analytics, or currently has, or is in the process of obtaining a Master’s Degree plus at least 3 years in data analytics, or currently has, or is in the process of obtaining PhD with an expectation that required degree will be obtained on or before the scheduled start date

　　At least 2 years of programming experience

　　Preferred Qualifications:

　　PhD in Statistics, Economics, Mathematics, Financial Engineering, Operations Research, Engineering, Finance, Physics or related discipline

　　1+ years of experience manipulating and analyzing large data sets

　　1+ years of experience with Python or R

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

　　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 (https://www.capitalonecareers.com/benefits) . 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 committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable 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 [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]

　　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).