Requirements
The ideal candidate will have a Bachelor's or MSc in financial analytics, computer science, or a related field, with at least 5 years of experience in data science and analytics focused on finance. Proficiency in Python, SQL, Databricks, and machine learning libraries (scikit-learn, TensorFlow, PyTorch, ARIMA, SARIMA, Prophet) is required, along with hands-on experience in MLOps, Git, and data visualization tools (Matplotlib, Seaborn, Plotly). Strong skills in statistical techniques, predictive modeling, data visualization, and the ability to communicate technical concepts to non-technical stakeholders are essential.
Description
Job description / Role
Job Type
Full Time
Job Location
Dubai, UAE
Nationality
Any Nationality
Salary
Not Specified
Gender
Not Specified
Arabic Fluency
Not Specified
Job Function
Accounting & Audit
Company Industry
Retail
Overview of the role:
The manager data science - finance is responsible for leading the execution of financial data science projects aimed at enhancing financial performance and managing risk through the application of advanced analytics and machine learning techniques. The role involves overseeing a team of data scientists, implementing predictive models, developing dashboards and KPI metrics, and generating financial insights that drive strategic decisions. Success in this role is measured by the ability to deliver actionable analytics solutions that align with business objectives.
What you will do:
Predictive modeling
Implement various predictive models including residual value prediction, credit scoring, delinquency prediction, and collections optimization to improve financial performance and risk management.
Deliver at least 2 use cases successfully demonstrating the application of predictive models.
Data visualization and KPI development
Create financial KPI metrics and risk dashboards using statistical techniques and data visualization libraries.
Develop and maintain 3 comprehensive finance-related dashboards that provide actionable insights to stakeholders.
Financial insights and analysis
Generate and communicate financial insights by leveraging techniques such as time series decomposition, anomaly detection, and stress testing.
Produce 3 actionable financial insights monthly to aid decision-making and strategy formulation.
Required skills to be successful:
Proficiency in modeling techniques such as ARIMA and LSTM networks for predictive analytics.
Expertise in machine learning methods including gradient boosting, ensemble methods, and neural networks.
Strong skills in statistical techniques and data visualization for financial analysis and modeling.
Ability to effectively communicate complex technical concepts to non-technical stakeholders.
What qualifies you for the role:
Bachelor's or MSc in financial analytics, computer science, or related field.
5+ years of experience in data science and analytics with a strong focus on finance.
Proficient in Python, SQL, Databricks, and experienced with machine learning libraries including scikit-learn, TensorFlow, PyTorch, ARIMA, SARIMA, and Prophet.
Hands-on experience with MLOps, Git, and data visualization tools like Matplotlib, Seaborn, and Plotly.
About the Company
Established in the 1930's, the Al-Futtaim Group initially operated as a trading enterprise. Rapid development throughout the 1940's and 50's saw it establish itself regionally as an integrated commercial, industrial and services organisation, positioning itself one of the leading business houses in the lower Gulf region. Today, it operates collectively over 40 companies bearing the Al-Futtaim name, dominates many market segments in the UAE, and has expanded its sphere of operation to include Bahrain, Kuwait, Qatar, Oman and Egypt.
The Group comprises a diverse range of strategically positioned operating subsidiaries and associate companies, structured to give the Al-Futtaim Group the flexibility and versatility to keep ahead of local competition while keeping pace with the ever-evolving global business scenario. The Groups continued investment in world-class systems technology is clear evidence of its commitment to maintain leading edge performance and service delivery.
The success of the Al-Futtaim Group can be attributed to a business approach that combines the ability to change with the traditional values of integrity, service and social responsibility that define its core business philosophy. This, linked with the Groups belief in decentralisation, gives the heads of the operating companies a high degree of functional autonomy and authority, providing the Group with essential flexibility, and individual employees a clearly defined work culture and sense of responsibility.
Apply Now