Senior Manager Data Science | Financial Services Transformation | Corporate Services

Overview

Lead AI and data science initiatives across financial services to improve performance and risk.

Key Responsibilities

• data visualization
• llm development
• predictive modeling
• risk dashboards
• fraud detection
• nbo strategy

Tasks

-Utilize advanced visualization techniques to convey key data insights. -Leverage expertise in AI agents and LLM-driven products to build scalable systems. -Design and implement AI solutions to enhance AI chatbots and automation flows. -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. -Collaborate with finance and risk teams to identify data-driven improvement opportunities. -Standardize financial KPI metrics and risk dashboards using statistical process control. -Implement various predictive models, including residual value forecasting, credit risk scoring, and customer value proposition. -Generate financial insights through time series analysis, portfolio optimization, and risk modeling. -Optimize asset allocation and fraud detection models. -Develop and refine next best offer (NBO) strategies using advanced analytics.

Requirements

• python
• sql
• databricks
• tensorflow
• financial modeling
• phd

What You Bring

-Expertise in Python, SQL, Databricks, and data visualization tools like Matplotlib and Plotly. -Proven leadership and communication skills, capable of managing teams and delivering complex projects. -Strong knowledge of machine learning techniques, including NLP, transformers, and model explainability. -Bachelor's, Master's, or PhD in Statistics, Computer Science, Financial Engineering, or a related field. -Proficiency in financial modeling and risk management techniques, including IFRS 9/CECL, stress testing, and capital analytics. -Over 7 years of experience in financial analytics, data science, and machine learning. -Proficient in Python, SQL, Databricks, and ML libraries such as TensorFlow and PyTorch. Additional experience with MLOps, Git, and data visualization tools -Hands-on expertise in advanced statistical methods, financial modeling, and machine learning techniques including NLP and computer vision.

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About Al-Futtaim

-Born in the 1930s as a family venture in Dubai, it evolved into a regional powerhouse across 18 countries. -It built a portfolio spanning automotive, retail, real estate, finance, health, and education divisions. -Real estate highlights include Dubai Festival City, mixed-use developments, and logistics hubs. -Financial services include insurance, broking, and consumer financing across the region. -Health segment delivers modern clinics and patient-centric care solutions. -Education arm partners with global institutions, supports Arabic excellence, and collaborates with NASA challenges. -The narrative includes pioneering projects like hydrogen fuel stations and AI-driven retail innovation.

Sector Specialisms