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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.
Overview Of The Role
- The Senior Manager Data Science - Financial Services is a pivotal role within the Financial Services Group, tasked with leading enterprise AI and data science initiatives. The primary aim is to optimize financial performance and enhance risk management through sophisticated analytics and machine learning techniques. The role oversees AI and data science efforts across Captive Finance, Cards & Payments, and Emirates Investment Bank divisions, driving impactful business insights and innovation.
Predictive Modeling
- Implement various predictive models, including residual value forecasting, credit risk scoring, and customer value proposition.
- Optimize asset allocation and fraud detection models.
- Develop and refine next best offer (NBO) strategies using advanced analytics.
- Standardize financial KPI metrics and risk dashboards using statistical process control.
- Generate financial insights through time series analysis, portfolio optimization, and risk modeling.
- Utilize advanced visualization techniques to convey key data insights.
- Collaborate with finance and risk teams to identify data-driven improvement opportunities.
- Design and implement AI solutions to enhance AI chatbots and automation flows.
- Leverage expertise in AI agents and LLM-driven products to build scalable systems.
- Expertise in Python, SQL, Databricks, and data visualization tools like Matplotlib and Plotly.
- Proficiency in financial modeling and risk management techniques, including IFRS 9/CECL, stress testing, and capital analytics.
- Strong knowledge of machine learning techniques, including NLP, transformers, and model explainability.
- Proven leadership and communication skills, capable of managing teams and delivering complex projects.
- Bachelor's, Master's, or PhD in Statistics, Computer Science, Financial Engineering, or a related field.
- Over 7 years of experience in financial analytics, data science, and machine learning.
- Hands-on expertise in advanced statistical methods, financial modeling, and machine learning techniques including NLP and computer vision.
- Proficient in Python, SQL, Databricks, and ML libraries such as TensorFlow and PyTorch. Additional experience with MLOps, Git, and data visualization tools
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 put together a well-crafted and personalised CV to further boost your visibility. Our global Talent Acquisition team members are all assigned to specific businesses to ensure that we make the best matches between talent and opportunities. We not only consider the requisite compatibility of skills and behaviours, but also how candidates align with our Values of Respect, Integrity, Collaboration, and Excellence.
As part of our candidate experience promise, we also want to make ourselves available to you throughout the application process. We make every effort to review and respond to every application.
Key Skills
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