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
Senior Analyst, Customer Compliance & Fraud (Data Analysis)
**Overview:**
- Demonstrated ability to communicate effectively and collaborate within a team environment.
- Proven ability to build relationships with internal stakeholders across Compliance functions and proactively navigate the organization to identify the right resources.
- Strong analytical skills, with the ability to work with large datasets, identify patterns, and generate actionable insights.
- Working knowledge of SQL, Data Warehouse (DWH) concepts, and data visualization tools such as Power BI.
- Ability to support data mining activities, identify behavioral patterns and business opportunities, and track action plans.
- Solid knowledge of fraud prevention and compliance principles, with an interest in developing expertise in risk management and regulatory frameworks.
- Experience with Generative AI technologies (e.g., Microsoft Copilot Studio or similar tools) to enhance data analysis, automation, and productivity.
**Role:**
- Support the execution of monitoring activities to assess adherence to fraud prevention, compliance, and regulatory requirements.
- Review and analyze regulatory, compliance, and fraud-related customer data using SQL and other analytical tools to identify trends, anomalies, and potential risks.
- Assist in developing 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 that mitigate fraud and compliance risks.
- Assist in investigating potential risks and suspicious behaviors through structured data analysis, escalating findings when appropriate.
- Collaborate 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 the guidance of senior team members.
**All About You:**
- Strong analytical mindset, with the ability to interpret data and identify patterns related to fraud, risk, and compliance.
- Foundational experience with SQL and data analysis; experience with Power BI or similar visualization tools is preferred.
- Experience in fraud prevention, risk management, or compliance is highly desirable.
- Experience with Excel and/or Python (e.g., Jupyter Notebooks) is a plus.
- Strong attention to detail and a natural curiosity to investigate anomalies and unusual data patterns.
- Ability to translate analytical findings into clear, actionable insights with guidance from senior team members.
- Proactive, eager to learn, and interested in developing expertise in fraud detection and compliance analytics.
- Experience with 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.
