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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 credit risk loss across multi-million record datasets using statistical techniques. In other settings, you’ll get the opportunity to use completely different skill sets, blending business thinking with simulation and quantitative tools when forecasting rare or unprecedented events. It’s a growing team full of exciting opportunities to solve a range of complex problems.
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.
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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 credit risk loss across multi-million record datasets using statistical techniques. In other settings, you’ll get the opportunity to use completely different skill sets, blending business thinking with simulation and quantitative tools when forecasting rare or unprecedented events. It’s a growing team full of exciting opportunities to solve a range of complex problems.
Excellent coding skills in Python (must-have) and/or R (good to have) with self-drive to create accurate, efficient, and organized code using industry best practices
Hands-on experience utilizing data analysis and visualization packages to gain insights from large datasets
Deep understanding of quantitative analysis methods with practical considerations under the context of financial institutions and/or commercial bank lending
Demonstrated track-record in applying statistical, machine learning and/or econometric analysis to solve business problems
Drive to develop and maintain high quality and transparent model documentation
Strong communication skills both written and verbal, and storytelling skills for presentations
Experience with simulation-based modeling approach, stochastic processes, etc
Appreciation for processes, controls, and good governance
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.
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.
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.
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).
A technology-driven bank providing diverse financial services.
Visit company websiteJobs and hiring trendsUSD 135600-154800 yearly / year
Full-time
Entry · 1+ years experience
Onsite
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