Job Requisition ID: 172168  

Established in the 1930s as a trading business, Al-Futtaim Group today is one of the most diversified and progressive, privately held regional businesses headquartered in Dubai, United A”rab Emirates. Structured into five operating divisions; automotive, financial services, real estate, retail and healthcare; employing more than 35,000 employees across more than 20 countries in the Middle East, Asia and Africa, Al-Futtaim Group partners with over 200 of the world's most admired and innovative brands. Al-Futtaim Group’s entrepreneurship and relentless customer focus enables the organisation to continue to grow and expand; responding to the changing needs of our customers within the societies in which we operate. 

By upholding our values of respect, excellence, collaboration and integrity; Al-Futtaim Group continues to enrich the lives and aspirations of our customers each and every day.

• As the Manager of Data Science for Financial Services at Al Futtaim Finance, the role entails executing data science projects to enhance the financial performance and risk management of the organization. The position involves leveraging advanced analytics and machine learning techniques to implement predictive models, develop comprehensive financial dashboards, and generate actionable insights. Success in this role requires a robust understanding of financial data analysis, strong quantitative skills, and the capability to communicate complex technical concepts to non-technical stakeholders. This role is pivotal in driving data-driven decisions that impact the financial strategies of the organization.

• Implement predictive models for residual value prediction, credit scoring, delinquency prediction, collections optimization, and pricing improvements.
• Deliver at least 2 use cases demonstrating successful predictive model implementation.

• Create financial KPI metrics and risk dashboards using statistical techniques and data visualization libraries.
• Develop and maintain 3 comprehensive finance-related dashboards.

• Generate financial insights utilizing time series decomposition, anomaly detection, and stress testing techniques.
• Produce 3 actionable financial insights monthly.

• Advanced statistical and machine learning expertise.
• Proficiency in Python, SQL, and data visualization tools.
• Strong problem-solving and critical thinking skills.
• Ability to communicate technical concepts to non-technical stakeholders.

• Bachelor's/MSc in Statistics, Financial Analytics, Computer Science, or a related field.
• 5+ years of experience in data science and analytics.
• Hands-on experience with advanced statistics, machine learning, time series analysis and forecasting.
• Proficiency in Python, SQL, Databricks, and financial modeling and machine learning libraries.

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