<p>Locations: VA - McLean, United States of America, McLean, Virginia</p><h3>Principal Quantitative Analyst - People Strategy & Analytics</h3><p>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.</p><p>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.</p><p>People Strategy & Analytics is an emerging field where Capital One is on the leading front. Our team brings data, analytics, and insights to shape critical talent decisions and strategy at Capital One. We work closely with HR partners and senior executives in shaping talent policy, automating real-time data and improving talent decision-making. The team is composed of people with diverse skills and backgrounds including: data analysts and engineers, product managers, data scientists, consultants and strategists, business analysts, HR specialists, economists, and Industrial Organizational Psychologists.</p><h3>Responsibilities and Skills:</h3><ol><li>Partner with cross-functional teams from Legal and Human Resources to assess Capital One's compensation system.</li><li>Utilize Python, SQL, and Quicksight to build modular, scalable, statistical models and reporting infrastructure and dashboards that will provide key insights about pay equity & fairness.</li><li>Provide insights that drive decisions and help shape policy impacting 50,000+ associates.</li><li>Flex your interpersonal skills to translate the complexity of statistical model results into tangible insights and actionable recommendations.</li><li>Apply root cause analysis, such as causal inference, to answer why an observed phenomenon happens and suggest actions that could effectively address concerns.</li></ol><p><b>Expertise in quantitative analysis is central to our success in all markets. Our modelers thrive in a culture of mutual respect, excellence and innovation.</b></p><h3>Successful candidates would possess:</h3><ol><li>Strong understanding of quantitative analysis methods in relation to financial institutions.</li><li>Demonstrated track-record in machine learning and econometric analysis.</li><li>Experience utilizing model estimation tools.</li><li>Ability to clearly communicate modeling results to a wide range of audiences.</li><li>Drive to develop and maintain high quality and transparent model documentation.</li><li>Strong written and verbal communication skills.</li><li>Strong presentation skills.</li><li>Ability to fully own the model development process: from conceptualization through data exploration, model selection, validation, deployment, business user training, and monitoring.</li><li>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).</li></ol><h3>Basic Qualifications:</h3><ol><li>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, 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.</li><li>At least 2 years of programming experience or financial modeling or econometric modeling (can include Graduate School Research work).</li></ol><h3>Preferred Qualifications:</h3><ol><li>Master’s Degree or PhD in Statistics, Economics, Mathematics, Operations Research, Engineering, Physics or related discipline.</li><li>At least 3 years of experience in statistical techniques such as regression, root cause analysis, causal inference, classification and clustering.</li><li>At least 3 years of experience with developing and implementing models using modern scripting languages (Python, R or other statistical languages).</li><li>At least 3 years of experience working with large-scale, cloud-based coding environments and databases (Python, SQL or other data manipulation languages).</li><li>At least 1 year of experience in consulting.</li></ol><p><b>Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.</b></p><p>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 <a href="#">Capital One Careers website</a>. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.</p><p>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.</p>
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Locations: VA - McLean, United States of America, McLean, Virginia
Principal Quantitative Analyst, Pay Equity - People Strategy & Analytics  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 have 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.
People Strategy & Analytics is an emerging field where Capital One is on the leading front. Our team brings data, analytics, and insights to shape critical talent decisions and strategy at Capital One. We work closely with HR partners and senior executives in shaping talent policy, automating real-time data, and improving talent decision-making. The team is composed of people with diverse skills and backgrounds including: data analysts and engineers, product managers, data scientists, consultants and strategists, business analysts, HR specialists, economists, and Industrial Organizational Psychologists.
Responsibilities and Skills:   Partner with cross-functional teams from Legal and Human Resources to assess Capital One's compensation system.
Utilize Python, SQL, and Quicksight to build modular, scalable, statistical models and reporting infrastructure and dashboards that will provide key insights about pay equity & fairness.
Provide insights that drive decisions and help shape policy impacting 50,000+ associates.
Flex your interpersonal skills to translate the complexity of statistical model results into tangible insights and actionable recommendations.
Apply root cause analysis, such as causal inference, to answer why an observed phenomenon happens and suggest actions that could effectively address concerns.
Expertise in quantitative analysis is central to our success in all markets. Our modelers thrive in a culture of mutual respect, excellence, and innovation.  Successful candidates would 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.
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).
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, 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 programming experience or financial modeling or econometric modeling (can include Graduate School Research work).
Preferred Qualifications:   Master’s Degree or PhD in Statistics, Economics, Mathematics, Operations Research, Engineering, Physics or related discipline.
At least 3 years of experience in statistical techniques such as regression, root cause analysis, causal inference, classification, and clustering.
At least 3 years of experience with developing and implementing models using modern scripting languages (Python, R or other statistical languages).
At least 3 years of experience working with large-scale, cloud-based coding environments and databases (Python, SQL or other data manipulation languages).
At least 1 year of experience in consulting.
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. Capital One promotes a drug-free workplace.

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<p>Center 2 (19050), United States of America, McLean, Virginia</p><h3>Senior Associate - Quantitative Analyst, Rotational Program</h3><p>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 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.</p><p>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.</p><p>Capital One’s Commercial Bank Team has a $100B+ loan portfolio that has grown organically and via acquisitions, covering C&I, CRE, and Structured Products. On this team, you’ll get an opportunity to solve a diverse set of problems, with a diverse set of tools. In some settings, you’ll leverage open-source programming or cloud computing to predict outcomes across multi-million record datasets. In other settings, you’ll get the opportunity to use completely different skill sets, blending business thinking with quantitative tools when forecasting rare or unprecedented events. It’s a growing team, full of exciting opportunities to solve a range of complex problems.</p><p>As a Senior Analyst associate, you’ll be participating in our Commercial Quantitative Analyst Rotational Program which will provide a diversity of experiences by rotating through two different teams over the course of three years.</p><h3>Responsibilities and Skills:</h3><ul><li>Partner with the various lines of business to enhance modeling and analytical frameworks.</li><li>Work across Capital One entities to create novel analytical solutions to challenging business problems.</li><li>Implement quantitative models and maintain in-house quantitative analytical framework.</li><li>Identify opportunities to apply quantitative methods and automation solutions to improve business performance and process efficiencies.</li><li>Collaborate in a cross-disciplinary team to build cloud-based solutions grounded in data and defensible assumptions.</li><li>Work effectively with challenge functions to ensure prompt and comprehensive support.</li><li>Maintain the existing suite of models and tools for accuracy, compliance, and user support.</li></ul><p><b>Expertise in quantitative analysis is central to our success in all markets. Our modelers thrive in a culture of mutual respect, excellence, and innovation.</b></p><h3>Successful candidates will possess:</h3><ul><li>Strong understanding of quantitative analysis methods in relation to financial institutions.</li><li>Excellent coding skills in Python/R and drive to create efficient, accurate, and maintainable code with best practices.</li><li>Demonstrated track record in statistical learning and econometric analysis.</li><li>Experience utilizing model estimation tools.</li><li>Ability to clearly communicate modeling results to a wide range of audiences.</li><li>Drive to develop and maintain high quality and transparent model documentation.</li><li>Strong written and verbal communication skills.</li><li>Strong presentation skills.</li><li>Appreciation for processes, controls, and good governance.</li></ul><h3>Basic Qualifications:</h3><ul><li>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 1 year of experience in data analytics, financial modeling, or econometric modeling (can include Graduate School Research work) with an expectation that the required degree will be obtained on or before the scheduled start date.</li><li>At least 1 year of programming experience.</li></ul><h3>Preferred Qualifications:</h3><ul><li>Master’s Degree or PhD in Statistics, Economics, Mathematics, Financial Engineering, Operations Research, Engineering, Finance, Physics, or related discipline.</li><li>2+ years of experience with data analysis.</li><li>2+ years of experience with Python, R, or other statistical analyst software.</li></ul><p><b>Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.</b></p><p>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 <a href="#">Capital One Careers website</a>. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.</p><p>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.</p>
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<p>Center 2 (19050), United States of America, McLean, Virginia </p><h3>Senior Associate - Quantitative Analyst, Rotational Program </h3><p>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 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. </p><p>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. </p><p>Capital One’s Commercial Bank Team has a $100B+ loan portfolio that has grown organically and via acquisitions, covering C&I, CRE, and Structured Products. On this team, you’ll get an opportunity to solve a diverse set of problems, with a diverse set of tools. In some settings, you’ll leverage open-source programming or cloud computing to predict outcomes across multi-million record datasets. In other settings, you’ll get the opportunity to use completely different skill sets, blending business thinking with quantitative tools when forecasting rare or unprecedented events. It’s a growing team, full of exciting opportunities to solve a range of complex problems. </p><p>As a Senior Analyst associate, you’ll be participating in our Commercial Quantitative Analyst Rotational Program which will provide a diversity of experiences by rotating through two different teams over the course of three years. </p><h3>Responsibilities and Skills: </h3><ul><li>Partner with the various lines of business to enhance modeling and analytical frameworks. </li><li>Work across Capital One entities to create novel analytical solutions to challenging business problems. </li><li>Implement quantitative models and maintain in-house quantitative analytical framework. </li><li>Identify opportunities to apply quantitative methods and automation solutions to improve business performance and process efficiencies. </li><li>Collaborate in a cross-disciplinary team to build cloud-based solutions grounded in data and defensible assumptions. </li><li>Work effectively with challenge functions to ensure prompt and comprehensive support. </li><li>Maintain the existing suite of models and tools for accuracy, compliance, and user support. </li> </ul><p><b>Expertise in quantitative analysis is central to our success in all markets. Our modelers thrive in a culture of mutual respect, excellence, and innovation. </b> </p><h3>Successful candidates will possess: </h3><ul><li>Strong understanding of quantitative analysis methods in relation to financial institutions. </li><li>Excellent coding skills in Python/R and drive to create efficient, accurate, and maintainable code with best practices. </li><li>Demonstrated track record in statistical learning and econometric analysis. </li><li>Experience utilizing model estimation tools. </li><li>Ability to clearly communicate modeling results to a wide range of audiences. </li><li>Drive to develop and maintain high quality and transparent model documentation. </li><li>Strong written and verbal communication skills. </li><li>Strong presentation skills. </li><li>Appreciation for processes, controls, and good governance. </li> </ul><h3>Basic Qualifications: </h3><ul><li>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 1 year of experience in data analytics, financial modeling, or econometric modeling (can include Graduate School Research work) with an expectation that the required degree will be obtained on or before the scheduled start date. </li><li>At least 1 year of programming experience. </li> </ul><h3>Preferred Qualifications: </h3><ul><li>Master’s Degree or PhD in Statistics, Economics, Mathematics, Financial Engineering, Operations Research, Engineering, Finance, Physics, or related discipline. </li><li>2+ years of experience with data analysis. </li><li>2+ years of experience with Python, R, or other statistical analyst software. </li> </ul><p><b>Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. </b> </p><p>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 <a >Capital One Careers website </a>. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. </p><p>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. </p>#J-18808-Ljbffr

<p>Locations: VA - McLean, United States of America, McLean, Virginia </p><h3>Principal Quantitative Analyst - People Strategy & Analytics </h3><p>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. </p><p>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. </p><p>People Strategy & Analytics is an emerging field where Capital One is on the leading front. Our team brings data, analytics, and insights to shape critical talent decisions and strategy at Capital One. We work closely with HR partners and senior executives in shaping talent policy, automating real-time data and improving talent decision-making. The team is composed of people with diverse skills and backgrounds including: data analysts and engineers, product managers, data scientists, consultants and strategists, business analysts, HR specialists, economists, and Industrial Organizational Psychologists. </p><h3>Responsibilities and Skills: </h3><ol><li>Partner with cross-functional teams from Legal and Human Resources to assess Capital One's compensation system. </li><li>Utilize Python, SQL, and Quicksight to build modular, scalable, statistical models and reporting infrastructure and dashboards that will provide key insights about pay equity & fairness. </li><li>Provide insights that drive decisions and help shape policy impacting 50,000+ associates. </li><li>Flex your interpersonal skills to translate the complexity of statistical model results into tangible insights and actionable recommendations. </li><li>Apply root cause analysis, such as causal inference, to answer why an observed phenomenon happens and suggest actions that could effectively address concerns. </li> </ol><p><b>Expertise in quantitative analysis is central to our success in all markets. Our modelers thrive in a culture of mutual respect, excellence and innovation. </b> </p><h3>Successful candidates would possess: </h3><ol><li>Strong understanding of quantitative analysis methods in relation to financial institutions. </li><li>Demonstrated track-record in machine learning and econometric analysis. </li><li>Experience utilizing model estimation tools. </li><li>Ability to clearly communicate modeling results to a wide range of audiences. </li><li>Drive to develop and maintain high quality and transparent model documentation. </li><li>Strong written and verbal communication skills. </li><li>Strong presentation skills. </li><li>Ability to fully own the model development process: from conceptualization through data exploration, model selection, validation, deployment, business user training, and monitoring. </li><li>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). </li> </ol><h3>Basic Qualifications: </h3><ol><li>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, 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. </li><li>At least 2 years of programming experience or financial modeling or econometric modeling (can include Graduate School Research work). </li> </ol><h3>Preferred Qualifications: </h3><ol><li>Master’s Degree or PhD in Statistics, Economics, Mathematics, Operations Research, Engineering, Physics or related discipline. </li><li>At least 3 years of experience in statistical techniques such as regression, root cause analysis, causal inference, classification and clustering. </li><li>At least 3 years of experience with developing and implementing models using modern scripting languages (Python, R or other statistical languages). </li><li>At least 3 years of experience working with large-scale, cloud-based coding environments and databases (Python, SQL or other data manipulation languages). </li><li>At least 1 year of experience in consulting. </li> </ol><p><b>Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. </b> </p><p>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 <a >Capital One Careers website </a>. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. </p><p>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. </p>#J-18808-Ljbffr

<p>Locations: VA - McLean, United States of America, McLean, Virginia </p><h3>Principal Quantitative Analyst, Pay Equity - People Strategy & Analytics </h3><p>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 have skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. </p><p>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. </p><p>People Strategy & Analytics is an emerging field where Capital One is on the leading front. Our team brings data, analytics, and insights to shape critical talent decisions and strategy at Capital One. We work closely with HR partners and senior executives in shaping talent policy, automating real-time data, and improving talent decision-making. The team is composed of people with diverse skills and backgrounds including: data analysts and engineers, product managers, data scientists, consultants and strategists, business analysts, HR specialists, economists, and Industrial Organizational Psychologists. </p><h3>Responsibilities and Skills: </h3><ol><li>Partner with cross-functional teams from Legal and Human Resources to assess Capital One's compensation system. </li><li>Utilize Python, SQL, and Quicksight to build modular, scalable, statistical models and reporting infrastructure and dashboards that will provide key insights about pay equity & fairness. </li><li>Provide insights that drive decisions and help shape policy impacting 50,000+ associates. </li><li>Flex your interpersonal skills to translate the complexity of statistical model results into tangible insights and actionable recommendations. </li><li>Apply root cause analysis, such as causal inference, to answer why an observed phenomenon happens and suggest actions that could effectively address concerns. </li> </ol><h3>Expertise in quantitative analysis is central to our success in all markets. Our modelers thrive in a culture of mutual respect, excellence, and innovation. </h3><h3>Successful candidates would possess: </h3><ol><li>Strong understanding of quantitative analysis methods in relation to financial institutions. </li><li>Demonstrated track record in machine learning and econometric analysis. </li><li>Experience utilizing model estimation tools. </li><li>Ability to clearly communicate modeling results to a wide range of audiences. </li><li>Drive to develop and maintain high-quality and transparent model documentation. </li><li>Strong written and verbal communication skills. </li><li>Strong presentation skills. </li><li>Ability to fully own the model development process: from conceptualization through data exploration, model selection, validation, deployment, business user training, and monitoring. </li><li>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). </li> </ol><h3>Basic Qualifications: </h3><ol><li>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, 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. </li><li>At least 2 years of programming experience or financial modeling or econometric modeling (can include Graduate School Research work). </li> </ol><h3>Preferred Qualifications: </h3><ol><li>Master’s Degree or PhD in Statistics, Economics, Mathematics, Operations Research, Engineering, Physics or related discipline. </li><li>At least 3 years of experience in statistical techniques such as regression, root cause analysis, causal inference, classification, and clustering. </li><li>At least 3 years of experience with developing and implementing models using modern scripting languages (Python, R or other statistical languages). </li><li>At least 3 years of experience working with large-scale, cloud-based coding environments and databases (Python, SQL or other data manipulation languages). </li><li>At least 1 year of experience in consulting. </li> </ol><p><b>Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. </b> </p><p>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 <a >Capital One Careers website </a>. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. </p><p>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. </p>#J-18808-Ljbffr

<p>Locations: VA - McLean, United States of America, McLean, Virginia</p><h3>Principal Quantitative Analyst, Pay Equity - People Strategy & Analytics</h3><p>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 have skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.</p><p>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.</p><p>People Strategy & Analytics is an emerging field where Capital One is on the leading front. Our team brings data, analytics, and insights to shape critical talent decisions and strategy at Capital One. We work closely with HR partners and senior executives in shaping talent policy, automating real-time data, and improving talent decision-making. The team is composed of people with diverse skills and backgrounds including: data analysts and engineers, product managers, data scientists, consultants and strategists, business analysts, HR specialists, economists, and Industrial Organizational Psychologists.</p><h3>Responsibilities and Skills:</h3><ol><li>Partner with cross-functional teams from Legal and Human Resources to assess Capital One's compensation system.</li><li>Utilize Python, SQL, and Quicksight to build modular, scalable, statistical models and reporting infrastructure and dashboards that will provide key insights about pay equity & fairness.</li><li>Provide insights that drive decisions and help shape policy impacting 50,000+ associates.</li><li>Flex your interpersonal skills to translate the complexity of statistical model results into tangible insights and actionable recommendations.</li><li>Apply root cause analysis, such as causal inference, to answer why an observed phenomenon happens and suggest actions that could effectively address concerns.</li></ol><h3>Expertise in quantitative analysis is central to our success in all markets. Our modelers thrive in a culture of mutual respect, excellence, and innovation.</h3><h3>Successful candidates would possess:</h3><ol><li>Strong understanding of quantitative analysis methods in relation to financial institutions.</li><li>Demonstrated track record in machine learning and econometric analysis.</li><li>Experience utilizing model estimation tools.</li><li>Ability to clearly communicate modeling results to a wide range of audiences.</li><li>Drive to develop and maintain high-quality and transparent model documentation.</li><li>Strong written and verbal communication skills.</li><li>Strong presentation skills.</li><li>Ability to fully own the model development process: from conceptualization through data exploration, model selection, validation, deployment, business user training, and monitoring.</li><li>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).</li></ol><h3>Basic Qualifications:</h3><ol><li>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, 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.</li><li>At least 2 years of programming experience or financial modeling or econometric modeling (can include Graduate School Research work).</li></ol><h3>Preferred Qualifications:</h3><ol><li>Master’s Degree or PhD in Statistics, Economics, Mathematics, Operations Research, Engineering, Physics or related discipline.</li><li>At least 3 years of experience in statistical techniques such as regression, root cause analysis, causal inference, classification, and clustering.</li><li>At least 3 years of experience with developing and implementing models using modern scripting languages (Python, R or other statistical languages).</li><li>At least 3 years of experience working with large-scale, cloud-based coding environments and databases (Python, SQL or other data manipulation languages).</li><li>At least 1 year of experience in consulting.</li></ol><p><b>Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.</b></p><p>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 <a href="#">Capital One Careers website</a>. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.</p><p>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.</p>
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Quantitative Analyst Capital One Jobs

Principal Quantitative Analyst People Strategy AnalyticsDecember 11, 2024

Principal Quantitative Analyst Pay Equity People Strategy AnalyticsDecember 10, 2024

Senior Associate Quantitative Analyst Rotational ProgramDecember 10, 2024

Senior Associate Quantitative Analyst Rotational ProgramDecember 9, 2024

Principal Quantitative Analyst People Strategy AnalyticsDecember 9, 2024

Principal Quantitative Analyst Pay Equity People Strategy AnalyticsDecember 9, 2024

Principal Quantitative Analyst Pay Equity People Strategy AnalyticsDecember 8, 2024