Responsibilities:

📍Program Development: Design and lead the development of end-to-end fraud prevention and detection strategies, including procedures, fraud rules, and controls. 📍Risk Analysis: Conduct sophisticated data analysis on large datasets (structured and unstructured) to identify emerging fraud trends, patterns, and potential risks. 📍Monitoring & Optimization: Continuously monitor fraud prevention system performance, measure key risk metrics, and implement data-driven enhancements to improve accuracy and reduce false positives. 📍Cross-Functional Collaboration: Partner with data science, risk operations, product, engineering, and customer support teams to integrate fraud prevention into products and services. 📍Project Management: Oversee initiatives aimed at advancing fraud detection systems and optimizing operational processes. 📍Reporting & Communication: Develop and deliver clear, actionable reports and insights for leadership and stakeholders, highlighting fraud risk exposure and the effectiveness of strategies and controls.

Minimum Qualifications:

📍5+ years in fraud strategy, program management, or related risk management roles. 📍Advanced analytical skills with proficiency in SQL, Python, Looker, and other data analysis and visualization tools. 📍Hands-on experience with fraud detection and monitoring platforms, with the ability to analyze data and identify emerging fraud patterns. 📍Strong verbal, written, and interpersonal skills with the ability to convey complex ideas clearly to both technical and non-technical audiences. 📍Track record of working effectively across cross-functional teams (e.g., product, engineering, operations, compliance) to achieve shared goals. 📍Comfortable making sound decisions in ambiguous or rapidly changing environments; skilled at using data to drive informed choices.

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