Assistant Manager (Data Scientist) - AML D&A

Overview

We are looking for an Assistant Manager (Data Scientist) who can independently execute high‑quality Data Analytics, Data Science, and Engineering work within the AML domain. The role involves designing and developing machine learning, deep learning, graph analytics, and LLM/RAG‑based solutions to enhance AML detection, behavioral insights, and investigative intelligence. You will transform complex datasets into clear, actionable insights, and contribute to building production‑ready analytical assets that support AML operational and business decisions.
You will work across AML, TM, Investigations, Technology, Cloud/Data Engineering, and Compliance teams, engaging with structured, semi‑structured, unstructured, and graph data in cloud‑native environments. The role requires strong analytical thinking, hands‑on modelling expertise, solid data engineering fundamentals, and adherence to MRM, CBUAE expectations, data governance, and internal standards.
If you are passionate about applying advanced ML/GenAI techniques in a real‑world financial‑crime context and want to grow into a full‑stack data science leader, this role is an excellent opportunity.