Capital One
Manager, Quantitative Analysis - Model Risk Office
Capital One - Mc Lean, Virginia, us, 22107
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Overview
Manager, Quantitative Analysis - Model Risk Office
Check below to see if you have what is needed for this opportunity, and if so, make an application asap. Manager, Quantitative Analysis - Model Risk Office 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 databases, 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 Manager Associate, Quantitative Analysis within the Model Risk Office, you will be part of the model validation team, working on the validation of CECL, CCAR 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. With a network of over 500 quantitative analysts and data scientists, we’ve created a dynamic environment with plenty of room for you to learn, grow, and realize your full potential. Responsibilities and Skills: Develop and implement validation strategies for models used to support CCAR stress testing processes, including statistical and financial models. Assess the quality and risk of 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 would possess: Strong understanding of quantitative analysis methods in relation to financial institutions. Demonstrated track record in 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. Appreciation for processes, controls, and good governance. Ability to manage complex projects that require cross-team collaboration. Basic Qualifications: Currently has, or is in the process of obtaining
one of the following
with 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 6 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 4 years of experience performing data analytics. A Ph.D. in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 1 year of experience performing data analytics.
Preferred Qualifications: Ph.D. in Economics, Statistics, Finance, or related disciplines. Experience in structural model, economic modeling, and forecasting. Experience or related research experience in macroeconomics, international finance, labor market, industrial organization, behavior models, and financial modeling. 2 years of experience with Python, R, or other statistical analyst software. 2 years of experience manipulating and analyzing large data sets. Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $193,400 - $220,700 for Manager, Quantitative Analysis. This 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. 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. Capital One promotes a drug-free workplace. 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. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to
Careers@capitalone.com .
#J-18808-Ljbffr
Check below to see if you have what is needed for this opportunity, and if so, make an application asap. Manager, Quantitative Analysis - Model Risk Office 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 databases, 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 Manager Associate, Quantitative Analysis within the Model Risk Office, you will be part of the model validation team, working on the validation of CECL, CCAR 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. With a network of over 500 quantitative analysts and data scientists, we’ve created a dynamic environment with plenty of room for you to learn, grow, and realize your full potential. Responsibilities and Skills: Develop and implement validation strategies for models used to support CCAR stress testing processes, including statistical and financial models. Assess the quality and risk of 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 would possess: Strong understanding of quantitative analysis methods in relation to financial institutions. Demonstrated track record in 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. Appreciation for processes, controls, and good governance. Ability to manage complex projects that require cross-team collaboration. Basic Qualifications: Currently has, or is in the process of obtaining
one of the following
with 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 6 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 4 years of experience performing data analytics. A Ph.D. in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 1 year of experience performing data analytics.
Preferred Qualifications: Ph.D. in Economics, Statistics, Finance, or related disciplines. Experience in structural model, economic modeling, and forecasting. Experience or related research experience in macroeconomics, international finance, labor market, industrial organization, behavior models, and financial modeling. 2 years of experience with Python, R, or other statistical analyst software. 2 years of experience manipulating and analyzing large data sets. Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $193,400 - $220,700 for Manager, Quantitative Analysis. This 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. 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. Capital One promotes a drug-free workplace. 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. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to
Careers@capitalone.com .
#J-18808-Ljbffr