JOE Listings (Job Openings for Economists)

August 1, 2016 - January 31, 2017

Capital One Financial Corporation

This listing is inactive.
Risk Capital and Analytics
Principal Quantitative Modeler

JOE ID Number: 2016-02_111455958
Date Posted: 09/07/2016
Date Inactive: 01/31/2017
Position Title/Short Description
Title: Principal Quantitative Modeler
Section: Full-Time Nonacademic
Location: McLean, Virginia, UNITED STATES
JEL Classification: G -- Financial Economics
Full Text of JOE Listing:

Capital One is one of world’s largest, most analytically sophisticated financial service providers. Our growing Fortune 500 company is known for giving affordable access to credit to tens of millions of customers worldwide. We also provide auto, home and business loans, plus banking and other financial services.

Expertise in quantitative analysis is central to our success in all these markets. Our 100+ modelers thrive in a culture of mutual respect, excellence and innovation. We have several opportunities available for top-notch quantitative professionals.

This position is part of Capital One’s Risk Management division. 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:
• Development, enhancement and implementation of statistical and other quantitative models to support loss forecasting, Basel and economic capital calculations, and other business applications
• Understanding technical issues in econometric and statistical modeling and applying these skills toward solving business problems
• Full ownership of the model development process: from conceptualization through data exploration, model selection and validation, implementation, business user training
• Monitoring statistical model performance and providing technical guidance to business leadership
• Identifying opportunities to apply quantitative methods to improve business performance
• Communicating technical subject matter clearly and concisely to individuals from various backgrounds

Basic Qualifications:
• Master’s degree in Econometrics, Statistics, Mathematics or another related field of study
• Proficiency in key econometric and statistical techniques (predictive modeling, logistic regression, survival analysis, panel data models, design of experiments, decision trees, data mining methods, and other advanced statistical and econometric techniques)
• Authorization for continual employment in the United States
• Strong SAS or Python programming skills
• Ability to communicate effectively and influence others

Preferred Qualifications:
• PhD in Econometrics, Statistics, Mathematics or other related fields of study
• Experience with very large datasets
• Background and experience in consumer or commercial risk, especially scoring, and forecasting models

Capital One is an equal opportunity employer committed to diversity in the workplace. Capital One promotes a drug-free workplace.

All qualified applicants will receive consideration for employment without regard to gender, race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity/assignment, citizenship, pregnancy or maternity, protected veteran status, or any other status protected by applicable national, federal, state or local law.

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.

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

No agencies please.




Application Requirements:
  • CV
Application deadline: 12/31/2016
  • Application Deadline Has Passed