Fraud Tech Analyst Data & Technology
Core
Analyze technical and business processes to translate them into actionable solutions for developers and AI teams, focusing on cloud-based fraud detection and management.
Role type
Senior Fraud Tech Analyst (Data & Technology)
Builds
Cloud-based fraud management platform, data-driven fraud use-cases, monitoring approaches, and optimization of rule-based and ML scoring models.
Domain
Financial services / Fraud detection / Cloud data engineering
Deliverable
production ML models
Required skills
SQL, Python, BI tools, Jira, Confluence, cloud data architecture, data pipelines, event streams, Kafka, APIs, real-time processing, fraud detection logic, scoring models, machine learning
Preferred skills
Business analysis of processes, data preparation and quality assessment, workshop facilitation, complex data interpretation, rule optimization
Technologies
Kafka, Cloud platforms, BI tools, SQL, Python
Responsibilities
Analyze large and complex datasets to identify fraud patterns and optimization potentials; Develop data-driven fraud use-cases, KPIs, and monitoring approaches; Support the optimization of rulebooks, scoring approaches, and AI/ML models; Structure requirements, data flows, and interfaces for new service integration; Prepare and validate data from various sources after implementation.
Seniority
Senior, hands-on IC
