We are looking for a highly capable Manager to independently lead and deliver complex Data Analytics, Data Science, and Engineering initiatives within the AML domain. In this role, you will architect and build advanced machine learning, deep learning, graph analytics, and LLM/RAG‑based solutions that strengthen AML detection, behavioural intelligence, and investigative decision‑making.
You will drive the full lifecycle of analytical delivery—from scoping and solution design to modelling, deployment, monitoring, and improvement—while ensuring full compliance with Model Risk Management (MRM), CBUAE regulatory expectations, and enterprise governance standards. Working across AML Business, TM, Investigations, Technology, and Cloud/Data Engineering teams, you will transform diverse structured, unstructured, and graph datasets into high‑quality, production‑ready analytical products.
The ideal candidate is a proactive, hands‑on leader who brings strong technical depth and execution discipline, can assess risks early, guides and mentors junior team members, and influences stakeholders through clear, evidence‑based insights. This role offers the opportunity to shape and elevate AML analytics through cutting‑edge ML/GenAI capabilities.
The leading financial institution in MENA
While more than half a century old, we proudly think like a challenger, startup, and innovator in banking and finance, powered by a diverse and dynamic team who put customers first. Together, we pioneer key innovations and developments in banking and financial services. Our mandate? To help customers find their way to Rise Every Day, partnering with them through the highs and lows to help them reach their goals and unlock their unique vision of success. Delivering superior service to clients by leading with innovation, treating colleagues with dignity and fairness while pursuing opportunities that grow shareholders value. We actively contribute to the community through responsible banking in our mission to inspire more people to Rise.Responsibilities:
- Independently manage and deliver multiple analytical projects, overseeing the entire lifecycle from scoping to deployment and monitoring.
- Serve as the technical lead for AML analytics, guiding team members in advanced ML/DL techniques, data engineering, and best practices.
- Develop and deploy sophisticated ML/DL models for behavioral analysis, anomaly detection, risk segmentation, and typology-driven frameworks.
- Build LLM and RAG-based models, including retrieval pipelines and agentic workflows for automated investigative systems.
- Apply graph data science to uncover hidden risk networks, ensuring robust and scalable data pipelines in Azure/Databricks environments.
- Lead the adoption of CI/CD practices for ML/LLM pipelines, model registries, and drift monitoring, integrating analytical models with applications via APIs.
- Ensure MRM compliance with comprehensive documentation, validation packs, and monitoring plans, providing regulatory guidance on AML/CFT requirements.
- Generate high-quality analytical insights and dashboards, effectively communicating complex concepts to senior leadership and non-technical teams.
- Mentor junior data scientists and analysts, fostering a culture of analytical excellence and continuous learning within the team.
Qualifications:
- Advanced degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics) with a strong background in ML/DL techniques.
- Minimum 8 years of experience in a data science/analytics role, with at least 3 years in a leadership position.
- Proven track record in developing and deploying complex ML/DL models, especially in the financial services or regulatory compliance domain.
- Expertise in LLM and RAG-based models, including retrieval pipelines and agentic workflows.
- Strong understanding of graph data science techniques and their application in risk analysis.
- Experience with Azure/Databricks environments and cloud-native analytics.
- Familiarity with CI/CD practices for ML/LLM pipelines and model registries.
- Excellent communication and storytelling skills, with the ability to simplify complex concepts for diverse audiences.
- Strong leadership and mentoring abilities, with a passion for fostering a culture of analytical excellence.
- Deep understanding of AML/CFT regulations and compliance standards.
