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Responsibilities and Skills:
Develop credit risk models for various business applications, including internal risk rating, loss forecasting, stress testing, pricing for Commercial Real Estate and 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
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 obtainingone of the followingwith an expectation that the required degree will be obtained on or before the scheduled start date:
A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics
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 3 years of experience performing data analytics
A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field)
Preferred Qualifications:
Master’s Degree or PhD in Statistics, Economics, Mathematics, Financial Engineering, Operations Research, Engineering, Finance, Physics or related discipline
2 years of experience with data analysis
1 year of experience with Python, R or other statistical analyst software
1 year of experience manipulating and analyzing large data sets
. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
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