Senior Specialist, Strategy Pricing & Interchange

Design and build predictive and value-based pricing models to quantify economic, operational, and customer value of Mastercard products and services.

Develop pricing analytics, run pricing scenarios, and create business cases to support commercial decisions and strategic trade-offs.

Apply machine learning and advanced analytics to identify pricing opportunities and support product planning and performance management.

Master's degree in quantitative field such as Data Science, Statistics, Economics, Engineering, Finance, Mathematics, Computer Science, or Operations Research.

6-8 years of experience in data science and pricing analytics with proven predictive and pricing model development.

Proficiency in Python (Pandas, NumPy, Scikit-learn, Statsmodels) and advanced SQL skills.

Strong knowledge of predictive modeling, machine learning, pricing elasticity, revenue optimization, and value-based pricing principles.

Experienced in translating complex data analytics into clear business insights and influencing senior stakeholders.

Comfortable working independently with ownership in a fast-paced global commercial environment involving cross-functional teams.

Background in payments, fintech, banking, or SaaS with strong skills in pricing strategy and advanced analytics.