Manager, Data Analyst - AML

Manager, Data Analyst - AML 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 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. 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. What you’ll do : • Drive current and future strategy by leveraging your analytical skills • Assist with building and using models to test and validate data • Work with vast amounts of data in new and evolving environments • Be a part of growing and developing our brand in new and emerging markets • Leverage analytics to create a customer experience above our peers • Lead a team of talented junior analysts on an exciting professional journey while mentoring them and elevating their careers • Be a part of the full life cycle of projects and see end results • Collaborate across business units • Work with top talent in a fast paced, entrepreneurial environment where analytics and good data are a top priority • Experience real work life balance, with little travel involved On any given day you will be : • Mining data to arrive at specific and crucial information for the organization • Identifying and implementing process, data, and reporting improvements for the organization • Working with large and complex databases containing millions to billions of records • Improving operational efficiencies and effectiveness • Conducting analysis to evaluate processes and tests • Extracting and analyzing data to gauge product offerings • Consulting on the design and implementation of new production and data storage systems • Developing and implementing strategic tests of products, initiatives and marketing materials An ideal candidate will be on the leading edge of Analytical technology with a passion for the newest and most innovative tools. Possessing strong problem solving and conceptual thinking abilities in addition to communication, interpersonal and leadership skills are also important. 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. This role will have a strong Business Intelligence component and those with a BI background are strongly encouraged to apply. 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 6 years of experience performing data analytics, or • Master’s Degree plus at least 4 years of experience performing data analytics with an expectation that required degree will be obtained on or before the scheduled start date. • At least 4 years of experience performing professional data analysis work • At least 4 years of experience performing programming Preferred Qualifications : • Master’s Degree in a Science, Technology, Engineering, Mathematics discipline • At least 7 years of professional data analysis work experience • At least 4 years of experience with Python, R, Spark or SQL • At least 1 year of model development, model risk or model validation experience • At least 1 year of AML, fraud or regulatory compliance experience • At least 1 year of experience in people management • At least 1 years of project management experience • Proficient utilizing and developing within AWS service Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. This role is designated as a hybrid position. You are expected to adhere to Capital One's hybrid policy regarding required on-site presence at your designated office location. 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 regu