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

• Demonstrated ability to communicate and interact cooperatively in a team environment;
• Demonstrated initiative in developing relationships with internal partners across compliance areas and curiosity to navigate the organization to find internal resources;
• Strong analytical skills, with ability to work with large datasets, identify patterns, and generate actionable insights;
• Working knowledge of SQL, Data Warehousing (DWH) concepts, and data visualization tools such as Power BI;
• Ability to support data mining analysis, identifying behavior patterns, business opportunities, and tracking progress of action plans;
• Basic understanding of fraud prevention and compliance principles, with interest in developing expertise in risk management and regulatory frameworks;
• Interest or exposure to emerging technologies such as Generative AI (e.g., Microsoft Copilot Studio or similar tools) to enhance data analysis, automation, and productivity;

• Support the execution of monitoring processes to assess adherence to fraud prevention, compliance, and regulatory requirements;
• Review and analyze customer regulatory, compliance, and fraud-related data using SQL and data tools, identifying trends, anomalies, and potential risks;
• Assist in the development of dashboards and reports (e.g., Power BI) to support fraud monitoring and compliance oversight;
• Support customer meetings by preparing data-driven insights and contributing to recommendations to mitigate fraud and compliance risks;
• Assist in investigating potential risks and suspicious behaviors through structured data analysis, escalating findings when appropriate;
• Work closely with internal teams to improve visibility into fraud trends, compliance gaps, and operational performance;
• Explore opportunities to leverage Generative AI tools (e.g., Copilot Studio) to support data analysis, process automation, and reporting efficiency, under guidance from senior team members;

• Strong analytical mindset, with ability to interpret data and identify patterns related to fraud, risk, and compliance;
• Foundational experience with SQL and data analysis; exposure to Power BI or similar tools is preferred;
• Familiarity or academic/professional exposure to fraud prevention, risk management, or compliance is highly desirable;
• Exposure to tools such as Excel and/or Python (e.g., Jupyter Notebooks) is a plus;
• High attention to detail and curiosity to investigate anomalies and unusual patterns in data;
• Ability to translate data findings into clear insights, with guidance from senior team members;
• Proactive attitude, eagerness to learn, and interest in building expertise in fraud detection and compliance analytics;
• Interest or hands-on exposure to Generative AI tools (e.g., Copilot Studio, ChatGPT, or similar platforms) to support analytics, automation, and workflow optimization is considered a plus;
• Fluency in English and Portuguese is required;

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.