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 Principle Associate of Quantitative Analysis within the Model Risk Office, you will be part of the validation team responsible for loss forecasting and economic stress test models used to determine loss reserves and capital requirements for retail portfolios including Credit Card and Auto lending. Validations cover all aspects of model development and performance and include forward-looking advancements in modeling capabilities and quality. With a network of over 500 quantitative analysts, data scientists and statisticians, we’ve created a dynamic environment with ample opportunities for learning and growth. <h3>Responsibilities and Skills: </h3><ol><li>Develop and execute validation testing for statistical, econometric, and machine learning models used in loss forecasting, allowance and stress testing for retail portfolios. </li><li>Generate risk assessments and model insights based on validation evaluations and results. </li><li>Develop alternative model approaches to assess model design and advance future capabilities. </li><li>Understand relevant business processes and portfolios associated with model use. </li><li>Communicate technical subject matter clearly and concisely to individuals from various backgrounds and roles both verbally and through written communication via model validation reports and presentations. </li><li>Maintain the efficiency and accuracy of our models through ongoing model risk management and application of best practices. </li><li>Remain on the leading edge of analytical technology and tools to identify areas of opportunity in our existing framework. </li> </ol>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>Successful candidates would possess: </h3><ol><li>Demonstrated knowledge and track-record in statistical modeling. </li><li>Experience utilizing model estimation tools such as R or Python. </li><li>Ability to clearly communicate modeling results to a wide range of audiences. </li><li>Strong written skills and ability to create and maintain high quality model documentation. </li><li>Drive to continuously improve all aspects of their work in a collaborative fashion. </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. </li> </ol><h3>Preferred Qualifications: </h3><ol><li>PhD in Statistics, Economics, Mathematics, Financial Engineering, Operations Research, Engineering, Finance, Physics or related discipline. </li><li>1 year of experience with Python, R or other statistical analyst software. </li><li>2 years of experience with data manipulation and analysis with large data sets. </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>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. #J-18808-Ljbffr

Are you passionate about leveraging data and advanced statistical models to drive impactful investment and business decisions? Do you excel in building and refining quantitative models that deliver insights and support financial strategies? If you’re ready to apply your quantitative skills to unlock data-driven opportunities, our client has the perfect role for you. We’re seeking a Quantitative Analyst (aka The Data Strategist) to develop models and analyses that guide investment strategies, risk management, and predictive analytics.As a Quantitative Analyst at our client, you’ll collaborate with portfolio managers, data scientists, and financial analysts to design data models and algorithms that uncover insights from complex datasets. Your expertise will be vital in transforming data into strategic assets and driving key financial decisions.Key Responsibilities:<ol><li>Develop and Test Quantitative Models: Design and build quantitative models for risk assessment, pricing, and investment strategies. You’ll validate models through rigorous backtesting and optimize them for accuracy and performance.</li><li>Analyze Financial Markets and Data Patterns: Conduct in-depth analyses of financial markets, identifying trends, correlations, and anomalies. You’ll provide insights that support trading strategies and portfolio optimization.</li><li>Implement Statistical and Machine Learning Techniques: Use advanced statistical methods and machine learning algorithms to analyze large datasets. You’ll apply techniques such as regression analysis, time-series forecasting, and clustering to extract valuable insights.</li><li>Collaborate on Strategy Development: Work closely with investment teams and risk managers to align quantitative models with strategic objectives. You’ll contribute to decision-making processes and advise on model-driven strategies.</li><li>Monitor and Refine Models Over Time: Track model performance and recalibrate as needed to adapt to market changes. You’ll implement feedback loops and monitor for model drift to ensure ongoing reliability.</li><li>Automate Data Analysis and Reporting: Develop scripts and workflows to automate data analysis and streamline reporting. You’ll use programming languages like Python or R to make quantitative processes more efficient.</li><li>Stay Updated on Industry Trends and Regulatory Changes: Keep current with market trends, regulatory developments, and advancements in quantitative finance. You’ll adapt models and strategies as needed to maintain compliance and optimize performance.</li></ol>Required Skills:<ul><li>Quantitative Modeling Expertise: Strong knowledge of building and testing quantitative models, with expertise in statistical methods, time-series analysis, and financial modeling.</li><li>Programming and Scripting: Proficiency in Python, R, or MATLAB for data analysis, modeling, and automation. Familiarity with SQL for data extraction and manipulation is also essential.</li><li>Financial Market Knowledge: Understanding of financial markets, asset classes, and trading strategies. You can interpret economic indicators and their impact on market dynamics.</li><li>Analytical and Problem-Solving Skills: Proven ability to approach complex problems analytically and develop data-driven solutions. You’re capable of conducting in-depth research and analysis.</li><li>Communication and Presentation: Strong written and verbal communication skills to present findings and explain complex models to non-technical audiences.</li></ul>Educational Requirements:<ul><li>Bachelor’s or Master’s degree in Quantitative Finance, Economics, Statistics, Mathematics, or a related field. Equivalent experience in quantitative analysis or finance may be considered.</li><li>Certifications in quantitative finance or risk management (e.g., CFA, FRM, CQF) are advantageous.</li></ul>Experience Requirements:<ul><li>3+ years of experience in quantitative analysis or data modeling, with a proven track record of building impactful models.</li><li>Experience working with large financial datasets and managing data from market data providers.</li><li>Familiarity with risk management practices and regulatory frameworks in financial services is a plus.</li></ul>
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Center 2 (19050), United States of America, McLean, Virginia<h3>Senior Associate – Quantitative Analyst, Rotational Program</h3>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.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.Further, 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.<h3>Responsibilities and Skills:</h3><ol><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 frameworks.</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></ol>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>Successful candidates will possess:</h3><ol><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>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>Appreciation for processes, controls, and good governance.</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 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></ol><h3>Preferred Qualifications:</h3><ol><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></ol>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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<h3>Job Description</h3><div>Job Description<div>Are you passionate about leveraging data and advanced statistical models to drive impactful investment and business decisions? Do you excel in building and refining quantitative models that deliver insights and support financial strategies? If you’re ready to apply your quantitative skills to unlock data-driven opportunities, our client has the perfect role for you. We’re seeking a Quantitative Analyst (aka The Data Strategist) to develop models and analyses that guide investment strategies, risk management, and predictive analytics.As a Quantitative Analyst at our client, you’ll collaborate with portfolio managers, data scientists, and financial analysts to design data models and algorithms that uncover insights from complex datasets. Your expertise will be vital in transforming data into strategic assets and driving key financial decisions.Key Responsibilities:<ol><li>Develop and Test Quantitative Models:</li><ul><li>Design and build quantitative models for risk assessment, pricing, and investment strategies. You’ll validate models through rigorous backtesting and optimize them for accuracy and performance.</li></ul><li>Analyze Financial Markets and Data Patterns:</li><ul><li>Conduct in-depth analyses of financial markets, identifying trends, correlations, and anomalies. You’ll provide insights that support trading strategies and portfolio optimization.</li></ul><li>Implement Statistical and Machine Learning Techniques:</li><ul><li>Use advanced statistical methods and machine learning algorithms to analyze large datasets. You’ll apply techniques such as regression analysis, time-series forecasting, and clustering to extract valuable insights.</li></ul><li>Collaborate on Strategy Development:</li><ul><li>Work closely with investment teams and risk managers to align quantitative models with strategic objectives. You’ll contribute to decision-making processes and advise on model-driven strategies.</li></ul><li>Monitor and Refine Models Over Time:</li><ul><li>Track model performance and recalibrate as needed to adapt to market changes. You’ll implement feedback loops and monitor for model drift to ensure ongoing reliability.</li></ul><li>Automate Data Analysis and Reporting:</li><ul><li>Develop scripts and workflows to automate data analysis and streamline reporting. You’ll use programming languages like Python or R to make quantitative processes more efficient.</li></ul><li>Stay Updated on Industry Trends and Regulatory Changes:</li><ul><li>Keep current with market trends, regulatory developments, and advancements in quantitative finance. You’ll adapt models and strategies as needed to maintain compliance and optimize performance.</li></ul></ol>RequirementsRequired Skills:<ul><li>Quantitative Modeling Expertise: Strong knowledge of building and testing quantitative models, with expertise in statistical methods, time-series analysis, and financial modeling.</li><li>Programming and Scripting: Proficiency in Python, R, or MATLAB for data analysis, modeling, and automation. Familiarity with SQL for data extraction and manipulation is also essential.</li><li>Financial Market Knowledge: Understanding of financial markets, asset classes, and trading strategies. You can interpret economic indicators and their impact on market dynamics.</li><li>Analytical and Problem-Solving Skills: Proven ability to approach complex problems analytically and develop data-driven solutions. You’re capable of conducting in-depth research and analysis.</li><li>Communication and Presentation: Strong written and verbal communication skills to present findings and explain complex models to non-technical audiences.</li></ul>Educational Requirements:<ul><li>Bachelor’s or Master’s degree in Quantitative Finance, Economics, Statistics, Mathematics, or a related field. Equivalent experience in quantitative analysis or finance may be considered.</li><li>Certifications in quantitative finance or risk management (e.g., CFA, FRM, CQF) are advantageous.</li></ul>Experience Requirements:<ul><li>3+ years of experience in quantitative analysis or data modeling, with a proven track record of building impactful models.</li><li>Experience working with large financial datasets and managing data from market data providers.</li><li>Familiarity with risk management practices and regulatory frameworks in financial services is a plus.</li></ul>Benefits<ul><li>Health and Wellness: Comprehensive medical, dental, and vision insurance plans with low co-pays and premiums.</li><li>Paid Time Off: Competitive vacation, sick leave, and 20 paid holidays per year.</li><li>Work-Life Balance: Flexible work schedules and telecommuting options.</li><li>Professional Development: Opportunities for training, certification reimbursement, and career advancement programs.</li><li>Wellness Programs: Access to wellness programs, including gym memberships, health screenings, and mental health resources.</li><li>Life and Disability Insurance: Life insurance and short-term/long-term disability coverage.</li><li>Employee Assistance Program (EAP): Confidential counseling and support services for personal and professional challenges.</li><li>Tuition Reimbursement: Financial assistance for continuing education and professional development.</li><li>Community Engagement: Opportunities to participate in community service and volunteer activities.</li><li>Recognition Programs: Employee recognition programs to celebrate achievements and milestones.</li></ul></div></div>

Center 2 (19050), United States of America, McLean, Virginia
Senior Associate – Quantitative Analyst, Rotational Program  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.
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.
Further, 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.
Responsibilities and Skills:   Partner with the various lines of business to enhance modeling and analytical frameworks.
Work across Capital One entities to create novel analytical solutions to challenging business problems.
Implement quantitative models and maintain in-house quantitative analytical frameworks.
Identify opportunities to apply quantitative methods and automation solutions to improve business performance and process efficiencies.
Collaborate in a cross-disciplinary team to build cloud-based solutions grounded in data and defensible assumptions.
Work effectively with challenge functions to ensure prompt and comprehensive support.
Maintain the existing suite of models and tools for accuracy, compliance, and user support.
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 will possess:   Strong understanding of quantitative analysis methods in relation to financial institutions.
Excellent coding skills in Python/R and drive to create efficient, accurate, and maintainable code with best practices.
Demonstrated track record in statistical learning and econometric analysis.
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.
Appreciation for processes, controls, and good governance.
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 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.
At least 1 year of programming experience.
Preferred Qualifications:   Master’s Degree or PhD in Statistics, Economics, Mathematics, Financial Engineering, Operations Research, Engineering, Finance, Physics, or related discipline.
2+ years of experience with data analysis.
2+ years of experience with Python, R, or other statistical analyst software.
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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Quantitative Analyst Jobs in San Francisco, CA

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Quantitative Analyst The Data StrategistDecember 9, 2024

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