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1 month ago


McLean, United States Capital One Full time

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 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 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 Excellent coding skills in R and Python and drive to create efficient, accurate, and maintainable code with best practices 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 in Statistics, Economics, Mathematics, Financial Engineering, Operations Research, Engineering, Finance, Physics or related discipline 2+ years of experience with data analysis 1+ years of experience with Python, R or other statistical analyst software #J-18808-Ljbffr