Assistant Manager - Retail Analytics

About the role

The Retail Risk Analytics Unit within Emirates Islamic supports Consumer Risk Management through portfolio analytics, risk modelling, management information and regulatory reporting. It provides actionable insights on portfolio performance and emerging risks, supporting credit policy, collections and business decisions, while improving analytical capabilities through automation, modern data tools and collaboration with Business, Collections, Finance and Technology.

Key responsibilities

• Migrate existing analytics and reporting processes to Python, developing reusable scripts and automated workflows.
• Analyze retail portfolio performance, including delinquency, vintage, roll rates, segmentation and collections trends, and recommend actions.
• Monitor application and behavioral scorecards and support the development of statistical and predictive models for retail credit risk and collections.
• Maintain code quality through Git and GitHub, including version control, testing, documentation and peer reviews.
• Support colleagues in adopting Python-based processes through knowledge sharing, troubleshooting and technical guidance.
• Prepare management and regulatory reports with accurate data, reconciliations and timely delivery.
• Ensure analytical solutions and models comply with the Bank's model governance requirements.

Required profile

• Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, Data Science, Finance or a related quantitative discipline.
• At least 3 years of relevant experience in data analytics, risk analytics or analytical automation, including at least 2 years of hands-on Python development.
• Practical experience developing automated analytical workflows and migrating reporting processes to Python.
• Working knowledge of statistics and predictive modelling.
• Strong analytical, problem-solving and communication skills, with the ability to collaborate and share technical knowledge.

Required skills

• Strong Python and SQL, including Pandas and NumPy.
• Proficiency in Git and GitHub, including version control, collaborative development and code reviews.
• Ability to write reusable, maintainable code and perform data reconciliation, testing and quality checks.