Hispanic Technology Executive Council
Manager, Quantitative Analysis - Credit Risk Ratings
Hispanic Technology Executive Council, Mc Lean, Virginia, us, 22107
Locations: VA - McLean, United States of America, McLean, VirginiaManager, Quantitative Analysis - Credit Risk Ratings
At Capital One, data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and relational database technology in 1988! Fast-forward a few years, and this innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in data-driven decision-making.As a Quantitative Analyst at Capital One, you'll be part of a team leading the next wave of disruption at a whole new scale, using the latest cloud computing and machine learning technologies across billions of customer records to unlock opportunities that help everyday people save money, time, and agony in their financial lives.As a Quantitative Analyst in Capital One's Commercial Bank, you'll develop credit risk models for diverse portfolios with various tools and challenges. This will involve blending business thinking and economic fundamentals with robust quantitative tools to forecast rare credit default and loss events. It's a growing team full of exciting opportunities to solve complex problems across a range of business segments.Responsibilities and Skills:Lead a team of quantitative analysts to develop credit risk rating models that support Commercial business and credit experts in their decision making.Collaborate with other credit modeling functions (e.g., ACL, CCAR) to ensure a 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 project team.Understand technical issues in econometric and statistical modeling to assess 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 innovative tools.Consulting experience.Strong coding skills in R or Python and a drive to create efficient, accurate, and maintainable code.Ability to communicate modeling results and recommendations to senior leaders 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 requiring cross-team collaboration.Basic Qualifications:Bachelors Degree plus at least 6 years of experience in data analytics, or a Masters Degree plus at least 4 years of experience, or a PhD plus at least 1 year of experience in data analytics, financial modeling, or econometric modeling (can include Graduate School Research work), with an expectation that the 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.Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.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.This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex, race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable law.If you require an accommodation during the application process, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com.
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At Capital One, data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and relational database technology in 1988! Fast-forward a few years, and this innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in data-driven decision-making.As a Quantitative Analyst at Capital One, you'll be part of a team leading the next wave of disruption at a whole new scale, using the latest cloud computing and machine learning technologies across billions of customer records to unlock opportunities that help everyday people save money, time, and agony in their financial lives.As a Quantitative Analyst in Capital One's Commercial Bank, you'll develop credit risk models for diverse portfolios with various tools and challenges. This will involve blending business thinking and economic fundamentals with robust quantitative tools to forecast rare credit default and loss events. It's a growing team full of exciting opportunities to solve complex problems across a range of business segments.Responsibilities and Skills:Lead a team of quantitative analysts to develop credit risk rating models that support Commercial business and credit experts in their decision making.Collaborate with other credit modeling functions (e.g., ACL, CCAR) to ensure a 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 project team.Understand technical issues in econometric and statistical modeling to assess 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 innovative tools.Consulting experience.Strong coding skills in R or Python and a drive to create efficient, accurate, and maintainable code.Ability to communicate modeling results and recommendations to senior leaders 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 requiring cross-team collaboration.Basic Qualifications:Bachelors Degree plus at least 6 years of experience in data analytics, or a Masters Degree plus at least 4 years of experience, or a PhD plus at least 1 year of experience in data analytics, financial modeling, or econometric modeling (can include Graduate School Research work), with an expectation that the 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.Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.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.This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex, race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable law.If you require an accommodation during the application process, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com.
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