Capital One
Senior Manager, Data Analysis - Anti Money Laundering
Capital One, Richmond, Virginia, United States, 23214
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Senior Manager, Data Analysis - Anti Money Laundering
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Capital One .
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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 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.
About the Organization 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, terrorist financing, and human trafficking through the use of advanced analytic techniques, statistics, and machine learning models. Our team develops data sourcing, predictive models, monitoring, and reporting using tools such as AWS, Snowflake, Python, and Spark. As the model development team for advancing transaction monitoring with machine learning, our team is responsible for end‑to‑end development, deployment, and monitoring of these critical risk‑management models.
The Role Our mission is to empower data‑driven decision‑making, foster innovation without limits, and make Capital One’s AML program pre‑eminent. We achieve this by implementing rigorous data governance practices, constructing analytical data stores, and harnessing the power of analytics to unlock valuable insights.
As a Senior Manager, you will partner cross‑functionally with teams throughout the enterprise including Product and Tech to deliver tangible business value. You will enhance your technical and analytical skills, while also working with leaders to influence business strategies.
On any given day you will be challenged on three types of work – Innovation, Business Intelligence and Data Management:
Innovation
Use Open Source/Digital technologies to mine complex, voluminous, and different varieties of data sources and platforms
Build well‑managed data products, data solutions, tools, and capabilities to enable self‑service frameworks for data consumers
Demonstrate ability to explore and quickly grasp new technologies to progress varied initiatives
Business Intelligence
Partner with the business and translate changes to design and develop tools and techniques that enable capturing the risky behavior
Drive analysis that provides meaningful insights on business strategies
Data Management
Drive an understanding and adherence to the principles of data quality management including metadata, lineage, and business definitions
Work collaboratively with appropriate Tech teams to manage security mechanisms and data access governance
Build and execute tools to monitor and report on data quality
An ideal candidate will possess strong problem‑solving and conceptual thinking abilities in addition to communication, interpersonal, and leadership skills.
Basic Qualifications
Currently has, or is in the process of obtaining, a Bachelor’s Degree in a quantitative field (e.g. Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 7 years of experience performing data analytics, or currently has, or is in the process of obtaining a Master’s Degree plus at least 5 years of experience performing 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 performing professional data analysis work
At least 5 years of experience leading and developing with open source data technologies
At least 2 years of experience managing people
Preferred Qualifications
Master’s Degree or PhD in a Finance, Economics, Statistics, Mathematics, Industrial Engineering, Operations Research, or a related field
At least 7 years of experience in statistical or econometrics hands‑on work
At least 5 years of experience manipulating and performing analysis with large data sets, including scripting experience in Python, SQL, and Spark.
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.
Salary
McLean, VA: $193,000 - $220,300 for Sr. Data Analysis Manager
Richmond, VA: $175,500 - $200,300 for Sr. Data Analysis Manager
Other locations will have pay ranges associated with that location.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long‑term incentives (LTI).
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well‑being.
This role is expected to accept applications for a minimum of 5 business days.
Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non‑discrimination in compliance with applicable federal, state, and local laws.
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.com
#J-18808-Ljbffr
Senior Manager, Data Analysis - Anti Money Laundering
role at
Capital One .
Get AI-powered advice on this job and more exclusive features.
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 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.
About the Organization 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, terrorist financing, and human trafficking through the use of advanced analytic techniques, statistics, and machine learning models. Our team develops data sourcing, predictive models, monitoring, and reporting using tools such as AWS, Snowflake, Python, and Spark. As the model development team for advancing transaction monitoring with machine learning, our team is responsible for end‑to‑end development, deployment, and monitoring of these critical risk‑management models.
The Role Our mission is to empower data‑driven decision‑making, foster innovation without limits, and make Capital One’s AML program pre‑eminent. We achieve this by implementing rigorous data governance practices, constructing analytical data stores, and harnessing the power of analytics to unlock valuable insights.
As a Senior Manager, you will partner cross‑functionally with teams throughout the enterprise including Product and Tech to deliver tangible business value. You will enhance your technical and analytical skills, while also working with leaders to influence business strategies.
On any given day you will be challenged on three types of work – Innovation, Business Intelligence and Data Management:
Innovation
Use Open Source/Digital technologies to mine complex, voluminous, and different varieties of data sources and platforms
Build well‑managed data products, data solutions, tools, and capabilities to enable self‑service frameworks for data consumers
Demonstrate ability to explore and quickly grasp new technologies to progress varied initiatives
Business Intelligence
Partner with the business and translate changes to design and develop tools and techniques that enable capturing the risky behavior
Drive analysis that provides meaningful insights on business strategies
Data Management
Drive an understanding and adherence to the principles of data quality management including metadata, lineage, and business definitions
Work collaboratively with appropriate Tech teams to manage security mechanisms and data access governance
Build and execute tools to monitor and report on data quality
An ideal candidate will possess strong problem‑solving and conceptual thinking abilities in addition to communication, interpersonal, and leadership skills.
Basic Qualifications
Currently has, or is in the process of obtaining, a Bachelor’s Degree in a quantitative field (e.g. Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 7 years of experience performing data analytics, or currently has, or is in the process of obtaining a Master’s Degree plus at least 5 years of experience performing 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 performing professional data analysis work
At least 5 years of experience leading and developing with open source data technologies
At least 2 years of experience managing people
Preferred Qualifications
Master’s Degree or PhD in a Finance, Economics, Statistics, Mathematics, Industrial Engineering, Operations Research, or a related field
At least 7 years of experience in statistical or econometrics hands‑on work
At least 5 years of experience manipulating and performing analysis with large data sets, including scripting experience in Python, SQL, and Spark.
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.
Salary
McLean, VA: $193,000 - $220,300 for Sr. Data Analysis Manager
Richmond, VA: $175,500 - $200,300 for Sr. Data Analysis Manager
Other locations will have pay ranges associated with that location.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long‑term incentives (LTI).
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well‑being.
This role is expected to accept applications for a minimum of 5 business days.
Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non‑discrimination in compliance with applicable federal, state, and local laws.
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.com
#J-18808-Ljbffr