Associate Managing Consultant/Consultant, Fraud & Payments Lead/Senior Analyst

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 Associate Managing Consultant/Consultant, Fraud & Payments Lead/Senior Analyst Advisors & Consulting Services Services within Mastercard is responsible for acquiring, engaging, and retaining customers by managing fraud and risk, enhancing cybersecurity, and improving the digital payments experience. We provide value-added services and leverage expertise, data-driven insights, and execution. Our Advisors & Consulting Services team combines traditional management consulting with Mastercard’s rich data assets, proprietary platforms, and technologies to provide clients with powerful strategic insights and recommendations. Our teams work with a diverse global customer base across industries, from banking and payments to retail and restaurants. Roles and Responsibilities Client Impact • Provide creative input on projects across a range of industries and problem statements • Contribute to the development of analytics strategies and programs for regional and global clients by leveraging data and technology solutions to unlock client value • Collaborate with Mastercard team to understand clients’ needs, agenda, and risks • Develop working relationship with client analysts/managers, and act as trusted and reliable partner • Support data-driven insights and strategy recommendations on fraud prevention/detection rules, case management, and mitigation approaches to balance fraud losses and customer experience • Support clients in understanding Mastercard’s payment ecosystem and best practices, including authorization, chargebacks, liability shifts, and network-level fraud products • Provide support on authentication strategies to help clients reduce friction while managing fraud risk Team Collaboration & Culture • Collaborate with senior project delivery consultants to identify key findings, prepare effective presentations, and deliver recommendations to clients • Collaborate with cross-functional Mastercard Teams to translate complex fraud and payments challenges into actionable solutions and advisory recommendations • Independently identify trends, patterns, issues, and anomalies in defined area of analysis, and structure and synthesize own analysis to highlight relevant findings • Lead internal and client meetings, and contribute to project management • Contribute to the firm's intellectual capital • Receive mentorship from performance analytics leaders for professional growth and development • Build early-stage skills in narrative-building and storytelling to explain complex fraud and payments insights to non-technical audiences • Mentor junior fraud analysts and consultants, providing structured coaching and career development support Qualifications Basic qualifications • Proven experience (3+ years) in Fraud strategy/analytics, risk management or payment systems, ideally within Banking, Finance, Fintech, or retail. For Lead Analyst, 5+ years relevant experience would be expected. • Understanding of Fraud prevention and detection strategies, rules management and processes across cards and payments • Data and analytics experience such as working in coding software (e.g., Python, R, SQL, SAS) and building, managing, and maintaining database structures, with the ability to turn data into meaningful insights and recommendations. • Undergraduate degree within STEM, data and analytics or similar • Experience managing clients or internal stakeholders • Ability to analyze large datasets and synthesize key findings ... (truncated, view full listing at source)