Manager, Quantitative Analysis - Model Risk Office
Capital One
Manager, Quantitative Analysis - Model Risk Office
Job Description
Overview
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.Capital One is selectively recruiting for a Manager for a Model Validation team. The individual would report to the Model Risk Office and work closely with the business groups. This individual, along with their peers, would 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 the 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 effectively 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
Demonstrated track-record in modeling and experience utilizing model estimation tools such as Python or R
Ability to clearly communicate modeling results to management, model risk office, regulator 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
Currently has, or is in the process of obtainingone of the followingwith 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
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 analyst 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)
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. 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 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.comCapital 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).
Locations
- New York, New York New York, New YorkMcLean
Salary
80,000 - 135,000 USD / yearly
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Pythonintermediate
- Rintermediate
- Statistical modelingintermediate
- Machine learningintermediate
- Econometric theoryintermediate
- Model validationintermediate
- Quantitative analysisintermediate
- Agile development methodologiesintermediate
Required Qualifications
- Bachelor's Degree in a quantitative field plus 6 years of data analytics experience, or Master's plus 4 years, or PhD plus 1 year (experience)
- At least 2 years of experience with Python, R or other statistical software (preferred) (experience)
- At least 2 years of experience in statistical modeling or machine learning (preferred) (experience)
Responsibilities
- Develop model approaches to assess model design and advance capabilities
- Understand business processes and portfolios associated with model use
- Apply econometric, statistical, and machine learning skills to assess model risks
- Communicate technical concepts to non-specialist audiences and senior management
- Maintain efficiency and accuracy of models through continuous improvement
- Develop high quality documentation
- Leverage open source technologies to identify opportunities
Benefits
- general: Comprehensive, competitive, and inclusive set of health, financial and other benefits
Answer 10 quick questions to check your fit for Manager, Quantitative Analysis - Model Risk Office @ Capital One.
Related Books and Jobs
Manager, Quantitative Analysis - Model Risk Office
Capital One
Manager, Quantitative Analysis - Model Risk Office
Job Description
Overview
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.Capital One is selectively recruiting for a Manager for a Model Validation team. The individual would report to the Model Risk Office and work closely with the business groups. This individual, along with their peers, would 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 the 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 effectively 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
Demonstrated track-record in modeling and experience utilizing model estimation tools such as Python or R
Ability to clearly communicate modeling results to management, model risk office, regulator 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
Currently has, or is in the process of obtainingone of the followingwith 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
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 analyst 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)
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. 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 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.comCapital 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).
Locations
- New York, New York New York, New YorkMcLean
Salary
80,000 - 135,000 USD / yearly
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Pythonintermediate
- Rintermediate
- Statistical modelingintermediate
- Machine learningintermediate
- Econometric theoryintermediate
- Model validationintermediate
- Quantitative analysisintermediate
- Agile development methodologiesintermediate
Required Qualifications
- Bachelor's Degree in a quantitative field plus 6 years of data analytics experience, or Master's plus 4 years, or PhD plus 1 year (experience)
- At least 2 years of experience with Python, R or other statistical software (preferred) (experience)
- At least 2 years of experience in statistical modeling or machine learning (preferred) (experience)
Responsibilities
- Develop model approaches to assess model design and advance capabilities
- Understand business processes and portfolios associated with model use
- Apply econometric, statistical, and machine learning skills to assess model risks
- Communicate technical concepts to non-specialist audiences and senior management
- Maintain efficiency and accuracy of models through continuous improvement
- Develop high quality documentation
- Leverage open source technologies to identify opportunities
Benefits
- general: Comprehensive, competitive, and inclusive set of health, financial and other benefits
Answer 10 quick questions to check your fit for Manager, Quantitative Analysis - Model Risk Office @ Capital One.
Related Books and Jobs