In this role, you'll:

📍Lead a team of analysts responsible for researching scams and fraud patterns, and operationalizing those insights into scalable detection pipelines. 📍Design and define the company’s fraud-related data structures — including data collection, normalization, enrichment, and quality standards. 📍Conduct deep analysis on fraud trends, behavioral patterns, and emerging threats, turning findings into actionable intelligence for internal teams. 📍Support internal and external data needs across Fraud, Risk, Product, Engineering, Customer Success, and Compliance. 📍Build and maintain dashboards, monitoring tools, and metrics that improve pipeline quality, data quality, and visibility into fraud trends. 📍Translate business and investigative requirements into clear technical data designs, schemas, and analytical models. 📍Collaborate with Product and Engineering teams to integrate fraud logic, data features, and detection insights into platform capabilities. 📍Communicate complex fraud concepts and analytical findings in an understandable way to investigators, leadership, and customer-facing teams. 📍Drive continuous improvement in fraud detection logic, expand coverage across scam scenarios, and proactively identify new areas of development. 📍Maintain strong data governance, documentation, and integrity for all fraud-related datasets and processes.

We're looking for candidates who have:

📍Experience managing data pipelines, ETL workflows, or real-time monitoring systems. 📍Demonstrated success in building and managing a high-performing data or analytics team. 📍Ability to communicate complex analytical concepts clearly to executives, customers, and cross-functional partners. 📍Fluency in English and Hebrew

The crypto industry is evolving rapidly, offering new opportunities in blockchain, web3, and remote crypto roles — don’t miss your chance to be part of it.