Found Description
To lead the design, engineering, deployment and operation of enterprise-scale graph data platforms and graph-based analytics solutions across the bank.
The role combines deep expertise inTiger Graph, graph analytics, graph machine learning and knowledge graphs with hands‑on ownership ofAKS Kubernetes-based infrastructure , cloud-native deployment, data ingestion, performance optimisation and operational resilience.
The successful candidate will enable relationship-driven intelligence across priority use cases includingfraud detection, financial crime, AML, customer intelligence, network risk management, AI and Gen AI . Key responsibilities Graph platform architecture and engineering
Architect, design, deploy and operate secure, scalable and highly available Tiger Graph clusters on Azure Kubernetes Service (AKS).
Build and manage distributed graph infrastructure, including container...
Ready to Apply?
Submit your application for Tigergraph data scientist at Datonomy Solutions
Apply Now