Full Stack Data Architect

Transforming financial crime, fraud, and risk management requires innovative solutions that leverage cutting-edge technologies. We're seeking a skilled Full Stack Data Engineer to architect and build the front-end and back-end systems for our contextual decision intelligence platform.

The ideal candidate will have at least 4 to 6+ years of experience as a full-stack engineer in analytics, big data, or enterprise environments.

The role involves solving intricate technical challenges, from very large data processing to interactive graph visualizations.

You'll work closely with our AI Engineers to create a scalable, intuitive platform that visualizes complex network relationships, delivers real-time risk scores, and integrates with advanced AI models.

Responsibilities include :