MasterCard Senior Analyst - Advance Analytics in Gurgaon, India
Who is Mastercard?
We are the global technology company behind the world’s fastest payments processing network. We are a vehicle for commerce, a connection to financial systems for the previously excluded, a technology innovation lab, and the home of Priceless at https://www.priceless.com/ ®. We ensure every employee has the opportunity to be a part of something bigger and to change lives. We believe as our company grows, so should you. We believe in connecting everyone to endless, priceless possibilities.
Senior Analyst - Advance 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.
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
All About You
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
Mastercard is an inclusive Equal Employment Opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.
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Everyone wants easier ways to pay;
we invent them.
Checkout lines are slow;
we speed them along.
Merchants want more sales;
we give them data and insights.
People need financial access;
we connect them.
Corporate purchasing is complicated;
we make it simple.
Commuters are busy;
we speed them on their way.
Governments need greater efficiencies;
we help create them.
Small businesses are virtual;
we give them access to a world of buyers.
Retailers want to fight fraud;
we provide the tools.
Requisition ID: R-84793
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