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Capital One Senior Manager Quantitative Analysis - Credit Risk Ratings 
United States, New York, New York 
124613688

26.06.2024
NYC 299 Park Avenue (22957), United States of America, New York, New York Senior Manager, Quantitative Analysis - Credit Risk Ratings



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

New York City (Hybrid On-Site): $234,700 - $267,900 for Sr Mgr, Quantitative AnalysisThis role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

. 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.