Capital One
Senior Manager, Data Analysis - Anti-Money Laundering Modeling and Advanced Data
Capital One, Mc Lean, Virginia, us, 22107
Center 1 (19052), United States of America, McLean, Virginia
Senior Manager, Data Analysis - Anti-Money Laundering Modeling and Advanced Data Insights
At Capital One, data is at the center of everything we do. When we launched 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 Senior Manager, you will partner cross-functionally with teams throughout the company to validate business impacting analytical tools. You will enhance your technical and analytical skills while also working with leaders to influence business strategies. With a network of hundreds of Data Analysts, Quants, and Data Scientists, challenging projects with an eye on the bottom line and a focus on work/life balance, we've created a dynamic environment with plenty of room for you to learn, grow, and realize your full potential. Team Description
The Anti-Money Laundering (AML) Modeling and Advanced Data Insights team is on a journey to modernize the way Capital One identifies potential money laundering, fraud, terrorist financing, and human trafficking through the use of advanced analytic techniques, statistics, and machine learning models. We develop predictive models, monitoring dashboards, and reporting using tools such as AWS, Snowflake, Python, and Spark. Our team produces the model outputs and data insights to operate our AML program efficiently and effectively. As the model developer for advancing transaction monitoring with machine learning, our team is responsible for end-to-end development, deployment, and monitoring of production models. Role Description
On a given day you will be: Planning and executing the data strategy for large scale predictive models Identifying technical issues in analytical tools and assessing tools risks and opportunities Adhering to enterprise data management practices Creating a long-term vision that aligns future data needs with strategic business priorities and customer needs Independently researching, identifying, and prototyping industry best practices for emerging analytical tools Communicating results clearly and concisely both verbally and through written communications via validation reports and presentations Coaching, mentoring, and supervising junior staff An ideal candidate will possess strong problem-solving and conceptual thinking abilities in addition to communication, interpersonal, and leadership skills. This position will be in a fast-paced and entrepreneurial environment where you will be handling multiple concurrent projects while working independently and in teams. Basic Qualifications:
Currently has, or is in the process of obtaining a Bachelor's Degree plus at least 7 years of experience in data analytics, or currently has, or is in the process of obtaining a Master's Degree plus at least 5 years of experience in data analytics, or currently has, or is in the process of obtaining a PhD plus at least 2 years of experience in data analytics with an expectation that the required degree will be obtained on or before the scheduled start date. At least 5 years of experience with professional data analysis work experience At least 2 years leading and developing with open source data technologies At least 2 years of experience in people management Preferred Qualifications:
Master's Degree or PhD in Finance, Economics, Statistics, Mathematics, Industrial Engineering, Operations Research, or a related field At least 5 years of experience manipulating and performing analysis with large data sets At least 5 years of experience in the financial services industry At least 5 years of experience in developing statistical or econometric models At least 5 years of experience in validating statistical or econometric models At least 2 years of experience with data governance At least 2 years of experience with predictive analytics 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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At Capital One, data is at the center of everything we do. When we launched 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 Senior Manager, you will partner cross-functionally with teams throughout the company to validate business impacting analytical tools. You will enhance your technical and analytical skills while also working with leaders to influence business strategies. With a network of hundreds of Data Analysts, Quants, and Data Scientists, challenging projects with an eye on the bottom line and a focus on work/life balance, we've created a dynamic environment with plenty of room for you to learn, grow, and realize your full potential. Team Description
The Anti-Money Laundering (AML) Modeling and Advanced Data Insights team is on a journey to modernize the way Capital One identifies potential money laundering, fraud, terrorist financing, and human trafficking through the use of advanced analytic techniques, statistics, and machine learning models. We develop predictive models, monitoring dashboards, and reporting using tools such as AWS, Snowflake, Python, and Spark. Our team produces the model outputs and data insights to operate our AML program efficiently and effectively. As the model developer for advancing transaction monitoring with machine learning, our team is responsible for end-to-end development, deployment, and monitoring of production models. Role Description
On a given day you will be: Planning and executing the data strategy for large scale predictive models Identifying technical issues in analytical tools and assessing tools risks and opportunities Adhering to enterprise data management practices Creating a long-term vision that aligns future data needs with strategic business priorities and customer needs Independently researching, identifying, and prototyping industry best practices for emerging analytical tools Communicating results clearly and concisely both verbally and through written communications via validation reports and presentations Coaching, mentoring, and supervising junior staff An ideal candidate will possess strong problem-solving and conceptual thinking abilities in addition to communication, interpersonal, and leadership skills. This position will be in a fast-paced and entrepreneurial environment where you will be handling multiple concurrent projects while working independently and in teams. Basic Qualifications:
Currently has, or is in the process of obtaining a Bachelor's Degree plus at least 7 years of experience in data analytics, or currently has, or is in the process of obtaining a Master's Degree plus at least 5 years of experience in data analytics, or currently has, or is in the process of obtaining a PhD plus at least 2 years of experience in data analytics with an expectation that the required degree will be obtained on or before the scheduled start date. At least 5 years of experience with professional data analysis work experience At least 2 years leading and developing with open source data technologies At least 2 years of experience in people management Preferred Qualifications:
Master's Degree or PhD in Finance, Economics, Statistics, Mathematics, Industrial Engineering, Operations Research, or a related field At least 5 years of experience manipulating and performing analysis with large data sets At least 5 years of experience in the financial services industry At least 5 years of experience in developing statistical or econometric models At least 5 years of experience in validating statistical or econometric models At least 2 years of experience with data governance At least 2 years of experience with predictive analytics 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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