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Responsibilities and Skills:
Lead a team of quantitative analysts to develop deep modeling expertise, business context, and relationships in a business vertical, e.g., Commercial & Industrial lending
Create credit risk rating models that are robust, intuitive, well-grounded, and that support Commercial business and credit experts in their decision making
Collaborate with other credit modeling functions (e.g., ACL, CCAR) to ensure a coherent and cohesive suite of models to forecast losses for the entire Commercial Bank
Work effectively with challenge functions to ensure prompt and comprehensive support
Maintain the existing suite of models and tools for accuracy, compliance, and user support
Manage model development project timelines against the needs and capacity of the team
Understand technical issues in econometric and statistical modeling and apply these skills toward developing models and assessing model risks and opportunities
Effectively communicate technical subject matter to individuals from various backgrounds both verbally and through written materials
Identify opportunities to apply quantitative methods and automation solutions to improve business performance and process efficiencies
Successful candidates would possess:
Strong understanding of quantitative analysis methods in relation to financial institutions
Demonstrated track-record in statistical-learning and econometric analysis
Desire to remain on the leading edge of analytical technology with a passion for the newest and most innovative tools
Consulting experience
Strong coding skills in R or Python and drive to create efficient, accurate, and maintainable code with best practices
Ability to clearly communicate modeling results to a wide range of audiences and maintain high standards of documentation
Intellectual curiosity and a drive to produce best estimates that balance confidence and uncertainty
Reverence for processes, controls, governance, and infrastructure
Ability to manage a small team and projects that require cross-team collaboration
Basic Qualifications:
Currently has, or is in the process of obtaining a Bachelor’s Degree plus at least 7 years of experience in data analytics, or currently has, or is in the process of obtaining a Master’s Degree plus at least 5 years of experience in data analytics, or currently has, or is in the process of obtaining PhD plus at least 2 years of experience in data analytics, financial modeling or econometric modeling (can include Graduate School Research work) with an expectation that required degree will be obtained on or before the scheduled start date
Preferred Qualifications:
PhD in Statistics, Economics, Mathematics, Financial Engineering, Operations Research, Engineering, Finance, Physics or related disciplines
5+ years of experience in statistical modeling, regression analytics or machine learning
4+ years of credit risk modeling experience for commercial banks (default probability, loss given default, or exposure at default)
2+ years of experience managing a team of analysts
. 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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