Overview

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.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. With a network of hundreds of Data Analysts, Quants, and Data Scientists,, we drive innovation, shape strategic initiatives and propel AML Transaction monitoring to new heights in the data management landscape. If you’re passionate about leveraging data to drive real-world impact and thrive in a collaborative, forward-thinking environment, we want you on our team. Join us and be a catalyst for change in the world of data and analytics.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 the 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. 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 in quantitative field (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 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 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. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.









Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.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.comCapital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).