Teams at Mastercard

Lead Data Scientist analyzing global fraud data to identify patterns, develop predictive models, and prevent payment fraud. The role builds fraud-related products and services, extracts insights from large datasets, collaborates with stakeholders, and presents findings to management and clients. Required skills include Python, Spark, complex data queries, and advanced data analysis. Experience with agentic AI systems and Unix is preferred, along with payments or fraud expertise.

Manages global Mastercard BRAM investigations involving potential illegal activity, brand-damaging conduct, and Standards violations. Oversees referral intake, evidence review, investigation strategy, customer responses, escalations, case quality, documentation, and closure. Provides guidance and prioritization to investigators, manages referral partners and vendors, monitors workloads and metrics, and collaborates with Legal, Regulatory Affairs, Operations, and regional teams to deliver defensible outcomes and improve governance, tools, analytics, and investigative processes.

Conducts investigations under Mastercard’s Business Risk Assessment and Mitigation program, reviewing evidence, evaluating customer responses, documenting findings, and supporting case outcomes. The role manages referrals, escalations, stakeholder communications, case tracking, reporting, trend identification, process improvements, and training. It requires careful handling of confidential data and collaboration with customers, vendors, internal teams, and referral partners to protect Mastercard’s brand and enforce its standards.