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.

Responsibilities and Skills:

• Develop credit risk models for various business applications, including internal risk rating, loss forecasting, stress testing, pricing for Structured Products

• Partner with the business analyst team to enhance modeling and analytical frameworks to generate business insights and drive changes

• Proactively identify opportunities to apply quantitative methods and automation solutions to improve model performance and process efficiencies

• Collaborate with implementation and data infrastructure team to build cloud-based solutions for model deployment, monitoring, and maintenance 

• Work effectively with challenge functions to ensure prompt and comprehensive support for model governance 

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:

• 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

Basic Qualifications:

• Currently has, or is in the process of obtaining one of the following with an exception that the required degree will be obtained on or before the scheduled start date:

  • A Master’s degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 1 year of experience in quantitative analytics

• At least 1 year of experience in each of the following skills through education or experience:

  • Statistical or econometric modeling

  • Linear and logistic regression

  • Programming in R, Python or SQL

  • Presenting statistical concepts and research results to non-statistical audience

• At least 1 year of experience in at least 3 of the following skills:

  • Survival analysis modeling

  • Time-series analysis

  • Panel data (longitudinal data or cross-sectional time-series data) analysis

  • Cross-sectional data analysis

  • Machine learning

  • Analysis and management of large datasets (>1M records)

​Preferred Qualifications:

• 2 years of experience with Python, R or other statistical analyst software

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

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.