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• ***This role is 100% remote and can be located anywhere in the US

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We’re rebuilding one of the most trusted names in fintech—and doing it like a startup. 

MoneyGram has been a global leader in cross-border payments for decades, and now we’re entering our most exciting chapter yet: a full-speed, full-scale re-founding led by Anthony Soohoo, with the backing of private equity firm Madison Dearborn Partners. 

 With a globally recognized brand, deep infrastructure across 200+ countries, and millions of loyal customers, the foundation is strong—and the scale is unreal. We’re now reimagining just how much further we can take it. 

 We’re rebuilding our growth engine —faster, smarter, and more customer-obsessed than ever. Fewer layers. Sharper strategy. Disciplined execution. A bias for action. We’re looking for bold operators and builders ready to run at this opportunity, shape the future of a scaled business, and leave their mark. 

About This Position

In this role, you will use your analytical and technical expertise to proactively identify fraud trends, design detection strategies, and influence data-driven decision-making across the organization. You’ll partner closely with fraud operations, engineering, data science, and compliance teams to build scalable fraud analytics capabilities and enhance our defenses against evolving threats. 

What You Will Do:

·         Analyze large volumes of transactional, behavioral, and customer data to identify suspicious activity and emerging risk patterns.

·         Design, develop, and maintain dashboards, KPIs, and visualizations to monitor fraud risk and operational performance 

·         Build and optimize risk detection rules, scorecards, and machine learning features in collaboration with data scientists

·         Perform root cause analysis on fraud cases and translate findings into actionable insights and system improvements

·         Evaluate the effectiveness of existing fraud risk controls and recommend enhancements based on quantitative analysis

·         Support A/B testing and impact assessments of new fraud tools, controls, or policy changes