Senior Quantitative Analyst - Global Finance

## Senior Quantitative Analyst - Global Finance 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. This position offers a unique opportunity to be a part of the modeling and data science team in the dynamic Capital Markets & Analytics (CMA) organization at Capital One. The CMA organization has been on a technology journey seeking to find ways to leverage technology to drive deeper market insights, manage financial risks and make the complex simple. We are looking for candidates to help in our journey with modeling, analytical and/or model implementation skills. ## Responsibilities - Partner with the various lines of business to develop and enhance Capital Markets modeling and analytical framework, such as derivatives models, interest rate models, and fixed income models. - Work across Capital One entities to create novel analytical solutions to 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 mathematics, statistical and machine learning methods to generate critical insights and decision frameworks for our business and customers. - Providing technical guidance to business leadership. - Communicate technical subject matter clearly and concisely to individuals from various backgrounds. ## Requirements - Strong interest in capital market analytics, especially in the financial derivatives space. - Deep understanding of quantitative modeling in relation to capital markets, such as derivatives, fixed income & term structure modeling. - Extensive experience in Python or other object-oriented language. - Demonstrated track-record in financial mathematics, machine learning and eco ## Nice to Have ## Benefits Our modelers thrive in a culture of mutual respect, excellence and innovation.