Capital One
Manager, Quantitative Analysis - Model Risk Office
Capital One, New York, New York, us, 10261
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Manager, Quantitative Analysis - Model Risk Office
role at
Capital One .
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, cutting‑edge technology in 1988. Fast‑forward a few years, and that 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 on 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. Capital One is selectively recruiting for a Manager for a Model Validation team. The individual will report to the Model Risk Office and work closely with the business groups. This individual, along with their peers, will be responsible for ensuring the accuracy and robustness of the firm’s market risk models. Clients of the group include senior management, business leads, internal audit, and regulators.
This position is responsible for validating models, specifically those used for derivative pricing and risk management, including derivative valuation, market risk, and counterparty risk models. Strong communication skills are essential to engage with a diverse group of stakeholders, irrespective of their technical background.
Responsibilities
Remain on the leading edge of analytical technology with a passion for the newest and most innovative tools.
Develop model approaches to assess model design and advance future capabilities.
Understand relevant business processes and portfolios associated with model use.
Understand technical issues in econometric, statistical, and machine‑learning modeling and apply these skills toward developing models and assessing model risks and opportunities.
Communicate technical subject matter clearly and concisely to individuals from various backgrounds both verbally and through written communication; prepare presentations of complex technical concepts and research results to non‑specialist audiences and senior management.
Maintain the efficiency and accuracy of our models through continuous improvement and application of best practices.
Develop and maintain high quality and transparent documentation.
Leverage the latest open source technologies and tools to identify areas of opportunity in our existing framework.
Successful candidates will possess:
Demonstrated track‑record in modeling and experience utilizing model estimation tools such as Python or R.
Ability to clearly communicate modeling results to management, the Model Risk Office, regulators, and other modelers.
Drive to continuously improve all aspects of their work in a collaborative fashion.
Experience in machine learning.
Strong communication skills with the ability to quickly understand existing models and new requirements/business needs.
Experience working with Agile development methodologies.
Strong grasp of econometric theory and methodologies.
Desire to remain on the leading edge of analytical technology with a passion for the newest and most innovative tools.
Experience working with CCAR regulatory requirements.
Experience with derivative modeling.
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 PhD 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
PhD in Statistics, Economics, Mathematics, Financial Engineering, Operations Research, Engineering, Finance, Physics or related disciplines.
At least 2 years of experience with Python, R or other statistical analysis software.
At least 2 years of experience in statistical modeling or regression analytics or machine learning.
At least 2 years of experience in derivative modeling (Fixed income, Commodity, FX or CDS).
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
Salary New York, NY: $211,000 - $240,800 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. 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.
Seniority level Mid‑Senior level
Employment type Full‑time
Job function Research, Analyst, and Information Technology
No agencies please. Capital One is an equal‑opportunity employer (EOE, including disability/veteran) committed to non‑discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug‑free workplace. Capital One will consider qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries.
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.
Capital One does not provide, endorse, nor guarantee and is not liable for third‑party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
#J-18808-Ljbffr
Manager, Quantitative Analysis - Model Risk Office
role at
Capital One .
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, cutting‑edge technology in 1988. Fast‑forward a few years, and that 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 on 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. Capital One is selectively recruiting for a Manager for a Model Validation team. The individual will report to the Model Risk Office and work closely with the business groups. This individual, along with their peers, will be responsible for ensuring the accuracy and robustness of the firm’s market risk models. Clients of the group include senior management, business leads, internal audit, and regulators.
This position is responsible for validating models, specifically those used for derivative pricing and risk management, including derivative valuation, market risk, and counterparty risk models. Strong communication skills are essential to engage with a diverse group of stakeholders, irrespective of their technical background.
Responsibilities
Remain on the leading edge of analytical technology with a passion for the newest and most innovative tools.
Develop model approaches to assess model design and advance future capabilities.
Understand relevant business processes and portfolios associated with model use.
Understand technical issues in econometric, statistical, and machine‑learning modeling and apply these skills toward developing models and assessing model risks and opportunities.
Communicate technical subject matter clearly and concisely to individuals from various backgrounds both verbally and through written communication; prepare presentations of complex technical concepts and research results to non‑specialist audiences and senior management.
Maintain the efficiency and accuracy of our models through continuous improvement and application of best practices.
Develop and maintain high quality and transparent documentation.
Leverage the latest open source technologies and tools to identify areas of opportunity in our existing framework.
Successful candidates will possess:
Demonstrated track‑record in modeling and experience utilizing model estimation tools such as Python or R.
Ability to clearly communicate modeling results to management, the Model Risk Office, regulators, and other modelers.
Drive to continuously improve all aspects of their work in a collaborative fashion.
Experience in machine learning.
Strong communication skills with the ability to quickly understand existing models and new requirements/business needs.
Experience working with Agile development methodologies.
Strong grasp of econometric theory and methodologies.
Desire to remain on the leading edge of analytical technology with a passion for the newest and most innovative tools.
Experience working with CCAR regulatory requirements.
Experience with derivative modeling.
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 PhD 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
PhD in Statistics, Economics, Mathematics, Financial Engineering, Operations Research, Engineering, Finance, Physics or related disciplines.
At least 2 years of experience with Python, R or other statistical analysis software.
At least 2 years of experience in statistical modeling or regression analytics or machine learning.
At least 2 years of experience in derivative modeling (Fixed income, Commodity, FX or CDS).
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
Salary New York, NY: $211,000 - $240,800 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. 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.
Seniority level Mid‑Senior level
Employment type Full‑time
Job function Research, Analyst, and Information Technology
No agencies please. Capital One is an equal‑opportunity employer (EOE, including disability/veteran) committed to non‑discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug‑free workplace. Capital One will consider qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries.
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.
Capital One does not provide, endorse, nor guarantee and is not liable for third‑party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
#J-18808-Ljbffr