Managing Consultant, Advisors & Consulting Services, Performance Analytics

Our Purpose
Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.
Title and Summary
Managing Consultant, Advisors & Consulting Services, Performance Analytics
Advisors with Advanced Analytics is charged with servicing Consulting Services, Information Services and Managed Services by centralizing and optimizing the world class Solution Design, analytical, modeling, product development, product management, econometrics, and associated delivery capabilities of the MasterCard Advisors organization.
Use broad retail, capital markets, media, and/or payments industry experience and deep knowledge of the application of big data quantitative analytics to provide hands-on support for information product development and custom analytical project delivery that satisfies and retains a global client base.
Major Responsibilities:• Generate key hypotheses and independently structure work at the work stream or project level • Travel to client sites across the world to deliver Analytics projects by collaborating with global teams and clients • Synthesize analyses into clear, sound recommendations; take responsibility for structuring and writing reports and client ready presentations from a work stream or project level. • Collect and synthesize feedback from clients, project delivery analysts, and sales teams for new solutions or product enhancements. Provide design specifications, functional and technical requirements for development of new products and solutions. • Data mining, model development, time series analysis, forecasting. Experience in Risk strategy, Credit Line strategy, credit card life cycle (Acquisition, Customer Engagement, Fraud) • Build behavioral scorecards for target marketing and risk management solutions using econometric and statistical modeling techniques • Create highly predictive models using segmentation and regression techniques to drive profits • Knowledge of metrics, measurements, and benchmarking to complex and demanding solutions across multiple industry verticals • Review analytics end-products to ensure accuracy, quality and timeliness. • Proactively seek new knowledge and structures project work to facilitate the capture of Intellectual Capital with minimal oversight • Develop effective working relationships with local and global teams including business partners Proactively seeks new knowledge and structures project work to facilitate the capture of Intellectual Capital with minimal oversight
Qualification and Skills Required:• Experience in hands-on business analysis, modeling and segmentation and data mining using large volumes of granular data to deliver analytical solutions • Advanced degree in Economics/Statistics/Mathematics with an emphasis on business applications. M.S./M.B.A. preferred from IIM's/ISB• Strong SAS, Hadoop, Python, R, MS-Excel and PowerPoint skills. • Platforms/Environments: Unix, SAS, SQL, Netezza, VBA, Microsoft BI Stack• Experience in financial sector and payments industry preferred
Corporate Security Responsibility
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:

• Abide by Mastercard's security policies and practices;
• Ensure the confidentiality and integrity of the information being accessed;
• Report any suspected information security violation or breach, and
• Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.