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Data Science Manager Automotive Financial Services Rental & Leasing

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Data Science Manager Automotive Financial Services Rental & Leasing

4 days ago - be among the first 25 applicants.

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 Arab Emirates. Structured into five operating divisions - automotive, financial services, real estate, retail and healthcare - the Group employs more than 35,000 people across more than 20 countries in the Middle East, Asia and Africa. Al Futtaim partners with over 200 of the world's most admired and innovative brands, leveraging entrepreneurship and a relentless customer focus to grow and expand in the societies in which it operates.

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

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 to implement predictive models, develop comprehensive financial dashboards, and generate actionable insights. Success requires a robust understanding of financial data analysis, strong quantitative skills, and the ability to communicate complex technical concepts to non technical stakeholders. This role is pivotal in driving data driven decisions that shape the organization's financial strategies.

What You Will Do Predictive Modeling
  • Implement predictive models for residual value prediction, credit scoring, delinquency prediction, collections optimisation, and pricing improvements.
  • Deliver at least two use cases demonstrating successful predictive model implementation.
Dashboard and Metrics Development
  • Create financial KPI metrics and risk dashboards using statistical techniques and data visualisation libraries.
  • Develop and maintain three comprehensive finance related dashboards.
Financial Insights Generation
  • Generate financial insights using time series decomposition, anomaly detection and stress testing techniques.
  • Produce three actionable financial insights monthly.
Required Skills To Be Successful
  • Advanced statistical and machine learning expertise.
  • Proficiency in Python, SQL and data visualisation 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 or MSc in Statistics, Financial Analytics, Computer Science, or a related field.
  • Five or more 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/machine learning libraries.

We're here to provide excellent service but a little help from you can ensure a five star candidate experience from start to finish. Before you click "apply", please read the job description carefully to ensure you can confidently demonstrate why this opportunity is right for you and take the time to build a well crafted and personalised CV to boost your visibility.

Our global Talent Acquisition team members are assigned to specific businesses to ensure the best match between talent and opportunities. We consider the requisite compatibility of skills and behaviours, and how candidates align with our values of respect, integrity, collaboration and excellence.

As part of our candidate-experience promise, we also want to be available to you throughout the application process. We make every effort to review and respond to every application.

Seniority level

Mid Senior level

Employment type

Full time

Job function

Engineering and Information Technology

Industries

Motor Vehicle Manufacturing

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