Overview Of The Role:

• 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.

What You Will Do:

Predictive Modeling

• 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.

Dashboard and Metrics Development

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

Financial Insights Generation

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

Skills

Required Skills To Be Successful:

• 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.

What Qualifies You For The Role:

• 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.