Principal Quantitative Analyst - Global Finance

Recruiting: VA - McLean, United States of America, McLean, Virginia

Principal 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.

The Quantitative Analyst teams at Capital One offer a unique opportunity to be part of a dynamic analytics and modeling team focused on developing behavior and valuation models for balance sheet portfolios. These portfolios can range from investment securities, derivatives, and other fixed income products. Successful candidates will partner cross-functionally with business throughout the company to deliver breakthrough analytical solutions to support a winning strategy in a continually changing business environment.

Responsibilities and Skills:

- Partner with the various lines of business to develop and enhance Capital Markets modeling and analytical framework, such as derivatives 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.
 

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 would possess: 

- 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.

- 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.
 

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 or financial modeling or econometric modeling (can include Graduate School Research work).

Preferred Qualifications:

- Master’s Degree or PhD in Financial Engineering, Financial Mathematics, Operations Research, Finance, Engineering, Statistics, Economics, Mathematics, Physics or related discipline.

- Deep Knowledge of capital market products, derivative instruments and experience with capital markets derivatives modeling. 

- 3 year of experience with Python or other object oriented languages.

- 2 years of  experience with data analysis.

- 1 year of experience manipulating and analyzing large data sets. 

- 1 year of system and/or