**Position Summary...**

**What you'll do...**
**About the Role** This role serves as the lead architect responsible for building, scaling, and optimizing fraud-detection capabilities across complex data ecosystems. It requires a blend of data analytics and behavioral science to architect relational data structures and ontologies while developing end-to-end SQL and Python pipelines (via fraud analytics tools) that power the detection engine. The core of the position involves developing risk-signal logic, building custom analytic applications, and experimenting with ML features and behavioral models to stay ahead of sophisticated threats. Beyond technical infrastructure, this role holds the autonomy to make critical fraud deactivation decisions and the executive presence to present technical strategies and findings to senior leadership, ensuring the fraud-detection roadmap aligns with global business goals. **What you’ll do** **Fraud Detection & Behavioral Analysis** · ...