Data Science & Risk Analyst

Strategy

Forecasting strong Support execution of the RV methodology and governance framework across all business units Prepare RV assumptions and depreciation curves for leasing subscription buy-back agreements manufacturer programs and fleet operations Forecast used vehicle price index depreciation using internal and external data sources AI-driven models and UAE market intelligence Analyze RV exposure by brand model fuel type ICE Hybrid EV and fleet segment Prepare RV scenario analysis base optimistic downside leveraging simulation and AI-based scenario tools

Data Science

Support the development calibration and maintenance of predictive prescriptive and generative AI models for RV forecasting depreciation curves portfolio risk analytics and predictive maintenance Apply machine learning techniques regression gradient boosting time series clustering to improve RV forecasting accuracy Leverage generative AI and LLM-based tools e g Microsoft Copilot Claude to accelerate data exploration model improvements documentation report drafting and market intelligence synthesis Contribute to data pipelines feature engineering data validation model back-testing and MLOps workflows under the guidance of the Data Science team Support model explainability e g feature importance SHAP counterfactual analysis Bayesian Inference etc and robustness testing to meet governance requirements Build and maintain automated dashboards for RV tracking depreciation curve analysis and fleet health reporting using modern BI tools Power BI Tableau Prepare monthly RV risk packs covering exposure trends variances and mitigation actions Ensure data integrity across fleet management systems valuation tools and remarketing platforms

Fleet Risk Management

Monitor total fleet exposure leasing rental subscription against approved risk thresholds using automated alerts and AI-based anomaly detection Identify high-risk models over-aged stock low-demand trims and vulnerable powertrains through data-driven segmentation Support the design of risk-reduction actions such as early disposal remarketing strategy changes re-allocation across business units and pricing adjustments Assist in stress testing the impact of economic factors including interest rates inflation regulatory changes import duties and currency movements using scenario simulation tools

Market Competitor Analysis

Track UAE used-car market trends auction performance and brand competitiveness API-based data feeds and AI-driven market intelligence tools Benchmark internal RV performance against competitors leasing companies OEM forecasts and market indices Monitor the impact of EV adoption ADAS technologies warranty changes and lifecycle cost trends

Cross-Brand OEM Engagement

Support engagement with OEMs across all automotive brands on RV data buy-back agreements warranties and lifecycle assumptions Assist in evaluating OEM incentive programs and their effect on RV stability using data-driven impact analysis Prepare analytical support for negotiations on guaranteed buybacks fleet deals or high-volume orders

Pricing Product Support

Provide RV input into leasing rental and subscription pricing tools and validate margin implications Support commercial teams in defining optimal contract lengths mileage bands and service packages leveraging AI-driven pricing optimization techniques Contribute to lifecycle cost modelling for new mobility products and business cases

Used-Car Operations Disposal Strategy

Partner with used-car operations to analyze remarketing performance and minimize RV losses Support recommendations on disposal channels retail wholesale auction export using data-driven channel-mix optimization Monitor time-to-market margin performance and stock ageing Track and forecast write-downs on used-car inventory using AI-supported provisioning models

Governance Compliance Policies

Support adherence to the RV risk governance framework model governance standards policies and control procedures Assist in preparing documentation for internal audit external audit and financial reporting requirements impairment provisioning Support model governance procedures for RV and AI ML models including version control validation monitoring and ethical AI considerations

Key Performance Indicators (KPIs)RV forecast accuracy vs. actual disposal outcomesFleet depreciation variance monitoringUsed-car margin performanceReduction in high-risk stock and ageing exposureData quality, dashboard reliability and reporting timelinessModel performance metrics (accuracy, drift, back-test results)Contribution to pricing decisions and remarketing outcomesEffectiveness in leveraging AI tools to drive automation and productivity gains

Systems, Tools & Technical Skills

Strong quantitative and analytical skills including statistical analysis predictive modelling and financial modelling Proficiency in Python and SQL programming language is a must Familiarity with AI/ML frameworks scikit-learn TensorFlow PyTorch and cloud-based analytics platforms GCP Azure AWS Databricks is highly desirable Understanding MLOps concepts version control Git model monitoring back-testing and reproducibility is a plus Working knowledge of generative AI platforms and modern AI workflows including Microsoft Copilot OpenAI and Claude with practical exposure to RAG prompt engineering agentic AI use cases AI-assisted research documentation automation and rapid prototyping Familiarity with BI and data-visualization tools such as Power BI Tableau and modern data-preparation platforms Alteryx Power Query notebooks Solid understanding of automotive lifecycle economics depreciation dynamics and used-car market behavior Strong attention to detail data integrity mindset and structured problem-solving skills Effective written and verbal communication skills with the ability to translate analysis into actionable insight for both technical and business audiences

Educational Qualification

Bachelor's degree in Statistics, Mathematics, Economics, Data Science, Computer Science or a related quantitative field. Progress towards CFA FRM or equivalent qualification is an advantage. Certifications in data analytics, machine learning, AI cloud platforms Azure AWS GCP or RV-specific programs are a strong plus

Work Experience

3-5 years of experience in data science predictive modeling or financial risk analytics Exposure to residual value forecasting portfolio risk monitoring machine learning or asset valuation strongly preferred Hands-on experience deploying AI/ML models or automation workflows in a business setting is a plus Understanding of the UAE automotive market and regional used-car dynamics with prior experience in multi-brand automotive groups leasing companies banks or captive finance preferred

Competencies

Analytical thinker with a risk-oriented mindset Strong attention to detail and data integrity focus Data-driven AI-curious and tech-savvy actively seeks to leverage new tools and technologies Collaborative across commercial finance operations and IT Ownership accountability and delivery focus Continuous learning mindset in a rapidly evolving AI and analytics landscape

Languages

Good written and verbal communication skills in English