Center 2 (19050), United States of America, McLean, Virginia Senior Associate - Quantitative Analyst, Rotational Program 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. Capital One’s Commercial Bank Team has a $100B+ loan portfolio that has grown organically and via acquisitions, covering C&I, CRE, and Structured Products. On this team, you’ll get an opportunity to solve a diverse set of problems, with a diverse set of tools. In some settings, you’ll leverage open source programming or cloud computing to predict outcomes across multi-million record datasets. In other settings, you’ll get the opportunity to use completely different skill sets, blending business thinking with quantitative tools when forecasting rare or unprecedented events. It’s a growing team, full of exciting opportunities to solve a range of complex problems. Further, as a Senior Analyst associate, you’ll be participating in our Commercial Quantitative Analyst Rotational Program which will provide a diversity of experiences by rotating through two different teams over the course of three years. **Responsibilities and Skills:** + Partner with the various lines of business to enhance modeling and analytical frameworks + Work across Capital One entities to create novel analytical solutions to the challenging business problems + Implement quantitative models and maintain in-house quantitative analytical framework + 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 and defensible assumptions + Work effectively with challenge functions to ensure prompt and comprehensive support + Maintain the existing suite of models and tools for accuracy, compliance, and user support **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 + Excellent coding skills in Python/R and drive to create efficient, accurate, and maintainable code with best practices + Demonstrated track-record in statistical-learning and econometric analysis + 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 + Appreciation for processes, controls, and good governance **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 1 year of experience in data analytics, financial modeling or econometric modeling (can include Graduate School Research work) with an expectation that required degree will be obtained on or before the scheduled start date + At least 1 year of programming experience **Preferred Qualifications:** + Master’s Degree or PhD in Statistics, Economics, Mathematics, Financial Engineering, Operations Research, Engineering, Finance, Physics or related discipline + 2+ years of experience with data analysis + 2+ years of experience with Python, R or other statistical analyst software **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 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).