Capital One
Senior Associate, Quantitative Analyst - Model Risk Audit
Capital One, Charlotte, North Carolina, United States, 28245
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Senior Associate, Quantitative Analyst - Model Risk Audit
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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 the relational database, cutting edge technology in 1988. Fast-forward to today, this innovation has helped Capital One become a Fortune 200 company and a leader in data-driven decision-making. As a Quantitative Analyst, you’ll be part of a team that uses cloud computing and machine learning technologies to operate across billions of customer records and unlock opportunities that help people save money, time and effort in their financial lives. As part of Capital One’s Model Audit team, you will review models and model risk practices across the enterprise and connect the dots to raise the appropriate model risk issues, providing assurance to the Audit Committee. Successful candidates will partner cross-functionally with business units to deliver analytical solutions in a changing business environment. Responsibilities and Skills
Apply deep expertise in econometric, statistical and machine learning methods to generate critical insights and decision frameworks for our business and customers Communicate technical subject matter clearly to individuals from various backgrounds Partner with lines of business to enhance modeling and analytical frameworks Work across Capital One entities to create novel analytical solutions to challenging business problems Identify opportunities to apply quantitative methods, machine learning, and automation to improve business performance and process efficiencies Collaborate in a cross-disciplinary team to build cloud-based solutions grounded in data Expertise in quantitative analysis
is central to our success. Our modelers thrive in a culture of mutual respect, excellence and innovation. What Successful Candidates Will Possess
Strong understanding of quantitative analysis methods in relation to financial institutions Demonstrated track record in 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 Proficiency in key econometric and statistical techniques (predictive modeling, logistic regression, survival analysis, panel data models, design of experiments, decision trees, machine learning methods) Basic Qualifications
Currently has, or is in the process of obtaining, one of the following with the expectation that the degree will be obtained by the start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or related) plus 3 years of data analytics experience A Master's Degree in a quantitative field or an MBA with a quantitative concentration plus 1 year of data analytics experience
Preferred Qualifications
Master’s Degree or PhD in Statistics, Economics, Mathematics, Financial Engineering, Operations Research, Engineering, Finance, Physics or related discipline At least 2 years of data analysis experience At least 1 year of experience with Python, R or other statistical analysis software Salary and relocation information
The minimum and maximum full-time annual salaries are listed by location. Salaries for parts of the role will be prorated. Location-specific ranges are: Plano, TX; Charlotte, NC; Chicago, IL; McLean, VA; New York, NY; Richmond, VA; Riverwoods, IL. Actual offer amounts will be stated in the offer letter. This role may be eligible for performance-based incentives. Other information
Capital One offers a comprehensive benefits package. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet). Capital One will consider qualified applicants with criminal histories in a manner consistent with applicable laws. Application process
If you require an accommodation during the application process, contact RecruitingAccommodation@capitalone.com. For technical support or questions about Capital One's recruiting process, please email Careers@capitalone.com. Capital One does not provide, endorse nor guarantee third-party products or services available through this site. Capital One Financial is made up of several entities. Position postings in Canada, the United Kingdom and the Philippines correspond to Capital One Canada, Capital One Europe, and Capital One Philippines Service Corp. (COPSSC). Seniority level
Associate Employment type
Full-time Job function
Research, Analyst, and Information Technology
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Senior Associate, Quantitative Analyst - Model Risk Audit
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 the relational database, cutting edge technology in 1988. Fast-forward to today, this innovation has helped Capital One become a Fortune 200 company and a leader in data-driven decision-making. As a Quantitative Analyst, you’ll be part of a team that uses cloud computing and machine learning technologies to operate across billions of customer records and unlock opportunities that help people save money, time and effort in their financial lives. As part of Capital One’s Model Audit team, you will review models and model risk practices across the enterprise and connect the dots to raise the appropriate model risk issues, providing assurance to the Audit Committee. Successful candidates will partner cross-functionally with business units to deliver analytical solutions in a changing business environment. Responsibilities and Skills
Apply deep expertise in econometric, statistical and machine learning methods to generate critical insights and decision frameworks for our business and customers Communicate technical subject matter clearly to individuals from various backgrounds Partner with lines of business to enhance modeling and analytical frameworks Work across Capital One entities to create novel analytical solutions to challenging business problems Identify opportunities to apply quantitative methods, machine learning, and automation to improve business performance and process efficiencies Collaborate in a cross-disciplinary team to build cloud-based solutions grounded in data Expertise in quantitative analysis
is central to our success. Our modelers thrive in a culture of mutual respect, excellence and innovation. What Successful Candidates Will Possess
Strong understanding of quantitative analysis methods in relation to financial institutions Demonstrated track record in 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 Proficiency in key econometric and statistical techniques (predictive modeling, logistic regression, survival analysis, panel data models, design of experiments, decision trees, machine learning methods) Basic Qualifications
Currently has, or is in the process of obtaining, one of the following with the expectation that the degree will be obtained by the start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or related) plus 3 years of data analytics experience A Master's Degree in a quantitative field or an MBA with a quantitative concentration plus 1 year of data analytics experience
Preferred Qualifications
Master’s Degree or PhD in Statistics, Economics, Mathematics, Financial Engineering, Operations Research, Engineering, Finance, Physics or related discipline At least 2 years of data analysis experience At least 1 year of experience with Python, R or other statistical analysis software Salary and relocation information
The minimum and maximum full-time annual salaries are listed by location. Salaries for parts of the role will be prorated. Location-specific ranges are: Plano, TX; Charlotte, NC; Chicago, IL; McLean, VA; New York, NY; Richmond, VA; Riverwoods, IL. Actual offer amounts will be stated in the offer letter. This role may be eligible for performance-based incentives. Other information
Capital One offers a comprehensive benefits package. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet). Capital One will consider qualified applicants with criminal histories in a manner consistent with applicable laws. Application process
If you require an accommodation during the application process, contact RecruitingAccommodation@capitalone.com. For technical support or questions about Capital One's recruiting process, please email Careers@capitalone.com. Capital One does not provide, endorse nor guarantee third-party products or services available through this site. Capital One Financial is made up of several entities. Position postings in Canada, the United Kingdom and the Philippines correspond to Capital One Canada, Capital One Europe, and Capital One Philippines Service Corp. (COPSSC). Seniority level
Associate Employment type
Full-time Job function
Research, Analyst, and Information Technology
#J-18808-Ljbffr