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Mastercard is a global technology company in the payments industry. Our mission is 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. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all.
Job Responsibility:
Support market sizing, go-to-market execution, performance monitoring and product optimization for existing and new capabilities
Analyze the impact of regulatory changes on product performance, transaction volumes and product adoption
Support the development and refinement of Authentication and Behavioral pricing models and develop dashboards/insights
Analyze transaction volume trends, attach rates, and revenue per transaction across segments and geographies to identify pricing and revenue trends
Model the commercial impact of product and fee structure changes on Mastercard revenue
Own the end-to-end measurement framework for Identity Check, covering authentication success rates, challenge success rates, frictionless vs. challenge flows, fallback and error rates, exemption usage, fraud performance etc
Build and maintain pricing and product performance dashboards and reporting
Identify and quantify performance bottlenecks and work with teams to resolve them
Requirements:
Experience in data analytics, preferably in payments, fintech, or financial services
Python & SQL skills (complex queries across large-scale transaction datasets — billions of rows)
Proficiency in at least one analytics/visualization tool stack (e.g., Python/R + Tableau/Power BI)
Experience building pricing models or commercial analytics
Comfort working with stakeholders across product, engineering and commercial functions
Strong communication skills
Nice to have:
Experience with card payment authentication (specifically EMV 3DS protocol or FIDO2 WebAuthn/Secure Payment Confirmation)
Familiarity with PSD2/SCA regulatory framework and how transaction risk analysis exemptions affect authentication flows