Blackwomenintech
Principal Quantitative Analyst - Model Risk
Blackwomenintech, Mc Lean, Virginia, us, 22107
Center 2 (19050), United States of America, McLean, VirginiaPrincipal Quantitative Analyst - Model Risk
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 the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.As a Quantitative Analyst at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in cloud computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.As a Principal Quantitative Analyst within the Model Risk Office, you will be part of the Model Validation Team, working on the validation of stress testing models and Interest Rate and Liquidity Risk Management models. Validations cover all aspects of model development and performance and include forward-looking advancements in model sophistication and quality. You will enhance your technical and analytical skills, while also working closely with business leaders to influence business strategy.Responsibilities and Skills:Develop and implement validation strategies for statistical, financial, and other quantitative models used in stress testing, interest rate risk, liquidity risk and deposit funding.Assess the quality and risk of data, model methodologies, outputs, and processes.Develop alternative model approaches to assess model design and advance future capabilities.Apply deep expertise in econometric, statistical and machine learning methods to generate critical insights in assessing model risks and opportunities.Communicate clearly and concisely both verbally and through written communication via model validation reports and presentations.Identify opportunities to apply quantitative methods and automation solutions to improve business performance and process efficiencies.Successful candidates will possess:Strong understanding of quantitative analysis methods in relation to financial institutions.Demonstrated track record in financial modeling, machine learning and econometric analysis.Experience utilizing model estimation tools.Ability to clearly communicate modeling results to a wide range of audiences.Drive to develop and maintain high quality and transparent model documentation.Strong written and verbal communication skills.Strong presentation skills.Ability to fully own the model development process: from conceptualization through data exploration, model selection, validation, deployment, business user training, and monitoring.Proficiency in key econometric and statistical techniques (such as predictive modeling, logistic regression, survival analysis, panel data models, design of experiments, decision trees, machine learning methods).Extensive experience in Python or other object-oriented language.Basic Qualifications:Currently has, or is in the process of obtaining a Bachelor's Degree plus at least 5 years of experience in data analytics, or currently has, or is in the process of obtaining a Master's Degree plus at least 3 years in data analytics, financial modeling or econometric modeling (can include Graduate School Research work) or currently has, or is in the process of obtaining PhD with an expectation that required degree will be obtained on or before the scheduled start date.At least 2 years of experience in data analytics or financial modeling or econometric modeling (can include Graduate School Research work).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 manipulating and analyzing large data sets.1+ year 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.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 (including pregnancy, childbirth or related medical conditions), 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 federal, state or local law.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 RecruitingAccommodation@capitalone.com.For technical support or questions about Capital One's recruiting process, please send an email to
Careers@capitalone.com .
#J-18808-Ljbffr
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 the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.As a Quantitative Analyst at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in cloud computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.As a Principal Quantitative Analyst within the Model Risk Office, you will be part of the Model Validation Team, working on the validation of stress testing models and Interest Rate and Liquidity Risk Management models. Validations cover all aspects of model development and performance and include forward-looking advancements in model sophistication and quality. You will enhance your technical and analytical skills, while also working closely with business leaders to influence business strategy.Responsibilities and Skills:Develop and implement validation strategies for statistical, financial, and other quantitative models used in stress testing, interest rate risk, liquidity risk and deposit funding.Assess the quality and risk of data, model methodologies, outputs, and processes.Develop alternative model approaches to assess model design and advance future capabilities.Apply deep expertise in econometric, statistical and machine learning methods to generate critical insights in assessing model risks and opportunities.Communicate clearly and concisely both verbally and through written communication via model validation reports and presentations.Identify opportunities to apply quantitative methods and automation solutions to improve business performance and process efficiencies.Successful candidates will possess:Strong understanding of quantitative analysis methods in relation to financial institutions.Demonstrated track record in financial modeling, machine learning and econometric analysis.Experience utilizing model estimation tools.Ability to clearly communicate modeling results to a wide range of audiences.Drive to develop and maintain high quality and transparent model documentation.Strong written and verbal communication skills.Strong presentation skills.Ability to fully own the model development process: from conceptualization through data exploration, model selection, validation, deployment, business user training, and monitoring.Proficiency in key econometric and statistical techniques (such as predictive modeling, logistic regression, survival analysis, panel data models, design of experiments, decision trees, machine learning methods).Extensive experience in Python or other object-oriented language.Basic Qualifications:Currently has, or is in the process of obtaining a Bachelor's Degree plus at least 5 years of experience in data analytics, or currently has, or is in the process of obtaining a Master's Degree plus at least 3 years in data analytics, financial modeling or econometric modeling (can include Graduate School Research work) or currently has, or is in the process of obtaining PhD with an expectation that required degree will be obtained on or before the scheduled start date.At least 2 years of experience in data analytics or financial modeling or econometric modeling (can include Graduate School Research work).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 manipulating and analyzing large data sets.1+ year 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.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 (including pregnancy, childbirth or related medical conditions), 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 federal, state or local law.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 RecruitingAccommodation@capitalone.com.For technical support or questions about Capital One's recruiting process, please send an email to
Careers@capitalone.com .
#J-18808-Ljbffr