Analyzes fraud patterns, transaction activity, payment flows, model outputs, and risk signals to identify threats and control gaps. Designs and tunes fraud rules, scoring strategies, alerts, and decisioning controls; monitors fraud losses, capture rates, false positives, and operational metrics. Partners with Product, Engineering, Data Science, Compliance, and Operations to implement fraud improvements, evaluate tools, conduct root-cause analysis, and provide actionable recommendations and executive-ready reporting.

Owns execution, optimization, and governance of Wave’s automated customer marketing journeys across email, in-product, and push channels. Builds segmented, personalized campaigns using Braze, Segment, and Amplitude; leads testing and performance measurement; ensures deliverability, consent, data integrity, QA, and documentation; and partners cross-functionally to improve activation, engagement, conversion, retention, and expansion.

Design, build, train, and deploy production ML models and scalable pipelines. Implement MLOps practices, observability, governance, and lineage. Optimize model performance and costs, collaborate with product, risk, and engineering teams to integrate ML features into production systems.