O'Fallon, MO

Vice President, Data

DescriptionOur PurposeWe work to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. We cultivate aculture of inclusionfor all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team one that makes better decisions, drives innovation and delivers better business results.Job TitleVice President, Data ScientistVP, Data Scientist, Fraud Data Strategy and ModelingOVERVIEWPurpose of the team:The Cyber and Intelligence (CandI) Solutions Product team is responsible for the development of products focused minimizing friction and mitigating fraud while optimizing revenue and client experience for our clients and cardholders. This applies to the complete transaction lifecycle as well as the entire account lifespan, including but not limited to authentication and authorization events. Most of our products are deployed for real time decisioning on several global and federated scoring platforms. Have you ever brought a product to market on a global scale? Are you capable of solving complex issues that drive new and innovative data-driven products? Is your next job one that will influence the growth of electronic payments? Are you aware of the criticality of increasing adoption of Strong Consumer Authentication (SCA) technology, continued growth of the e-commerce channel and the ongoing convergence of the payment space across the digital and physical worlds? Is the next step in your career to have an impact on the creation of products that impact this growth in electronic payments?Role: Drive large, complex global and regional data-driven product development efforts from a Data Science perspective. This work will include ongoing enhancements of product suites such as Smart Authentication and other pending strategic fraud and network intelligence products in support of global and regional market dynamics. Provide Data Science thought leadership and subject matter expertise working closely and iteratively with CandI product management, fraud data analytics and platform architecture teams on definition and execution of fraud data strategy and new real-time analytic products to ensure data and modeling efforts correspond closely to the business objectives. This includes strategy related to the growth of card use via non-traditional channels (Internet of Things). Provide critical updates and recommendations to CandI product owners and engineering teams on both strategic and operational impacts. Drive rapid prototyping, iterative design, and delivery for data-driven products and/or services using modern data analysis, machine learning and statistical approaches. Leads interfacing with technical developers to translate data-driven product requirements into technical specifications ensuring mutual understanding and minimizing time to market. Define fraud data strategy for acquisition and management of ongoing data asset enhancements including our expansion into cloud computing. Develop partnerships and knowledge sharing with other fraud analytics team/experts within MasterCard Communicate Data Science results and requirements with all levels of management within CandI and cross-functionally within MasterCard. Partner with and mentor fraud analytics team/experts within MastercardAll About You: M.S. degree (Ph.D. helpful) in quantitative disciplines such as machine learning, data science, or statistics; or exceptional ability Demonstrated passion for data science and a desire to drive use of new technology and techniques to develop new products and bring them to market Comprehensive and pro

Recommended Skills

  • Analytical
  • Architecture
  • Business Planning
  • Cloud Computing
  • Data Analysis
  • Data Science
Browse other jobs