Assistant Manager - Retail Analytics

Emirates Islamic; Dubai; On-site; AED 300,000 - 420,000; Full time

Job summary

Emirates Islamic is seeking a data analytics professional to migrate existing analytics and reporting to Python, developing reusable scripts and automated workflows. You will analyze retail portfolio performance, monitor scorecards, support predictive models for credit risk and collections, and prepare management and regulatory reports with data accuracy and governance.

The role emphasizes collaboration, Git/GitHub version control, and delivering scalable, maintainable solutions within bank

Qualifications

• Bachelor's degree in a quantitative field.
• Minimum 3 years of relevant experience in data analytics or risk analytics.
• Strong Python and SQL skills including Pandas and NumPy.
• Experience migrating reporting processes to Python.
• Proficiency in Git and GitHub including version control and code reviews.
• Ability to develop reusable, maintainable code and perform data reconciliation and quality checks.
• Knowledge of statistics and predictive modelling.
• Strong analytical, problem‑solving and communication skills.

Responsibilities

• Migrate analytics and reporting to Python with reusable scripts and automated workflows.
• Analyze retail portfolio performance including delinquency vintage roll rates and trends in collections.
• Identify emerging risks and recommend actions to mitigate them.
• Monitor application and behavioral scorecards and support predictive model development.
• Maintain code quality through Git and GitHub including version control, testing, and reviews.
• Prepare management and regulatory reports with data accuracy and timely delivery.
• Ensure analytics solutions comply with bank model governance requirements.

Skills

Python development

SQL

Pandas

NumPy

Git/GitHub

Data reconciliation

Testing & quality checks

Predictive modelling

Communication skills

Problem solving

Education

Bachelor's degree in a related quantitative discipline

Job description

Support the migration of 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 identifying emerging risks and recommending 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 ensuring data accuracy reconciliations and timely delivery Ensure analytical solutions and models comply with the Bank s model governance requirements

• Bachelor s degree in computer science, Engineering, Mathematics, Statistics, Data Science, Finance or a related quantitative discipline.
• Minimum 3 years of relevant experience in data analytics, risk analytics or analytical automation, including at least 2 years of hands-on Python development.
• Strong Python and SQL skills, including experience with Pandas and NumPy.
• Practical experience developing automated analytical workflows and migrating reporting processes to Python.
• Proficiency in Git and GitHub, including version control, collaborative development and code reviews.
• Ability to develop reusable, maintainable code and perform data reconciliation, testing and quality checks.
• Working knowledge of statistics and predictive modelling.
• Strong analytical, problem-solving and communication skills, with the ability to collaborate and share technical knowledge.