Senior Specialist, Strategy Pricing & Interchange

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

Mastercard is seeking a highly analytical and commercially minded professional to join the RAISE Value Quantification team within Strategy Pricing & Interchange. This role will help shape how Mastercard translates product, service, and customer value into scalable pricing strategies, business cases, and decision-ready analytics.

The ideal candidate will bring strong experience in predictive modeling, machine learning, pricing analytics, and data science, combined with the ability to influence commercial decisions. The role partners closely with Product, Pricing, Commercialization, Data Science, and regional teams to build value-based pricing models, quantify customer impact, and support growth-oriented pricing decisions across Mastercard.

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Key Responsibilities

1. Predictive Modeling and Explainability

a. Design and build predictive models that quantify the economic, operational, and customer value of Mastercard products and services.

b. Measure revenue, cost savings, efficiency, risk reduction, and customer impact to inform pricing and commercialization decisions.

c. Translate model outputs into clear value stories, commercial insights, and business cases.

2. Pricing Analytics & Modeling

a. Develop value-based B2B pricing models, commercial frameworks, and analytical tools that support product pricing and go-to-market strategy.

b. Estimate adoption, revenue impact, customer economics, churn elasticity, and outcome-based scenarios.

c. Run pricing scenarios and sensitivity analyses to guide strategic trade-offs and executive decision-making.

3. Machine Learning & Advanced Analytics

a. Apply machine learning, statistical techniques, and advanced analytics to identify pricing opportunities, customer value drivers, and performance trends.

b. Analyze large datasets and prepare structured inputs for predictive modeling.

c. Build forecasts and analytical outputs that support pricing strategy, product planning, and performance management.

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Qualifications

Education

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

Must-Have Experience

• 6-8 years of experience in data science and pricing analytics with demonstrated experience building predictive models, pricing models, business case frameworks, or value quantification methodologies.
• Proven ability to analyze large, complex datasets and convert analytical findings into business recommendations.
• Strong communication skills with the ability to explain technical concepts to commercial and senior stakeholder audiences.

Must-Have Technical Skills

• Strong working knowledge of predictive modeling, machine learning, forecasting, statistics, and model explainability.
• Proficiency in Python, including Pandas, NumPy, Scikit-learn, and Statsmodels.
• Advanced SQL skills for data extraction, transformation, and analysis.

Must-Have Business & Pricing Skills

• Experience with pricing elasticity, revenue optimization, customer economics, financial modeling, or commercial strategy.
• Understanding of value-based pricing principles and how analytical insights inform commercial decision-making.
• Strong analytical skills with the ability to link data, insights, and business impact.

Must-Have Professional Skills

• Excellent communication, storytelling, and stakeholder management skills.
• Ability to influence cross-functional teams and senior leaders.
• Strong ownership mindset and ability to work independently in a fast-paced environment.
• Curiosity, learning agility, and innovation mindset.

Preferred Qualifications

• Experience in payments, fintech, banking, SaaS, consulting, or other data-rich commercial environments.
• Advanced Excel skills, including financial modeling, Power Query, and analytical modeling.
• Experience with visualization tools, dashboarding, or application development.

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Why Join Us

This is an opportunity to join Mastercard's Strategy Pricing & Interchange team in a high-impact role that combines advanced analytics, pricing strategy, and commercial influence.

Strategic Impact

Shape value-based pricing strategies that influence product decisions, customer economics, and commercialization outcomes across Mastercard. You will use data science, machine learning, and predictive modeling to solve complex commercial challenges using rich payments data.

Collaborative Culture

Work across Pricing, Product, Commercialization, Data Science, and regional teams in a culture that values curiosity, collaboration, analytical rigor, and continuous learning.

Career Growth

Gain exposure to global stakeholders, senior leaders, and high-visibility initiatives while building deep expertise in pricing strategy, value quantification, and advanced analytics.

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Why Mastercard

At Mastercard, we're more than a global payments technology company. We're a community of thinkers, builders, and innovators committed to powering economies and empowering people. We foster a culture of curiosity, collaboration, and inclusion, where every idea can create impact.

Whether you are developing next-generation pricing models, applying machine learning to commercial challenges, or influencing strategic decisions through analytics, you will have the opportunity, support, and resources to grow your career while making a meaningful difference.

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Corporate Security Responsibility

All activities involving access to Mastercard assets, information, and networks come with an inherent risk to the organization. Therefore, 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 information being accessed.
• Report any suspected information security violation or breach.

• Complete all mandatory security and compliance training in accordance with Mastercard guidelines.

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.