Manager, Product Development
MastercardO'Fallon, MissouriPosted 22 March 2026
Job Description
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
Manager, Product Development
Overview
MDES, is a platform that enables payment cards to be digitized, which in turn fundamentally makes payments more secure.
Through a series of enhancements, we should be able to:
• Detect and measurably reduce fraud
• Provide a series of tools, and resources to reduce fraud
• Educate internal and external stakeholders on fraud trends, and best practices
Manager – Product Development – Digital Payments Fraud Support Analyst –Will use various data tools to investigate and analyse possible fraud events, and create additional tools to monitor trends, patterns, and help detect potential new fraud events.
Manager – Product Development – Digital Payments Fraud Support Analyst –needs to have knowledge not only of data analytics but also specifically relating to fraud attack vectors, and must be proactive in terms of ideas to avoid financial losses due to fraud attacks.
This role directly contributes to reducing fraud losses, improving customer trust, and strengthening the organisation’s overall fraud risk framework. By combining operational insight with data driven analysis, you will help shape more effective fraud prevention strategies and support continuous improvement across the fraud function.
Responsibilities
Fraud Detection & Investigation
• Analyse transactional activity, customer behaviour, and operational data to identify anomalies and potential fraud indicators.
• Provide real time support for ongoing fraud investigations by gathering evidence, preparing case summaries, and collaborating with internal stakeholders.
• Monitor fraud alerts, queues, and operational workflows to ensure timely and accurate resolution.
• Assist in root cause analysis to understand how fraud occurred and recommend preventative measures.
Data Analytics & Insights
• Extract, cleanse, and analyse large datasets to uncover trends, patterns, and emerging fraud typologies.
• Develop and maintain analytical models, dashboards, and reporting tools to support fraud monitoring and operational performance.
• Ensure data integrity and accuracy across all analytics outputs.
• Translate analytical findings into actionable insights for operational teams, risk managers, and senior leadership.
Operational Support & Process Improvement
• Work closely with fraud operations teams to optimise processes, improve detection accuracy, and reduce false positives.
• Contribute to the design and enhancement of fraud controls, workflows, and operational procedures.
• Support cross functional initiatives aimed at strengthening the organisation’s fraud risk posture.
• Provide subject matter expertise to technology teams on fraud related system enhancements.
• Provide regular coaching and feedback to new team members and partners to grow individual functional skills, experience and leadership capabilities
• Demonstrate a commitment to continuous learning by leveraging the learning and development curriculum to augment existing knowledge, skills and experiences
• Demonstrate and drive Mastercard Way behaviours through their behaviour, recognitions, coaching, and employee engagement.
Requirements
Technical & Analytical Skills
• Strong proficiency in data analysis tools and programming languages (e.g., SQL, Python, R, or similar).
• Experience working with large datasets and data visualisation tools (e.g., Power BI, Tableau).
• Ability to build and interpret data models, dashboards, and analytical reports.
• Understandi ... (truncated, view full listing at source)
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