Data Science & Risk Analyst

AW Rostamani Group; Dubai; On-site; AED 120,000 - 180,000; Full time

Job summary

[Company Name Not Provided in Job Posting] is seeking a data science and risk management professional to support the Director in executing RV risk framework across automotive brands and mobility units. The role focuses on forecasting residual values, monitoring portfolio risk, and tracking used-car market dynamics.

The candidate will leverage AI, ML and modern data tools to enhance forecasting accuracy, automate reporting, and generate actionable insights for RV setting, pricing and

Qualifications

• Proven experience in data science and risk management.
• Strong analytical, modelling, and reporting capabilities.
• Proficiency in AI, machine learning, and modern data tools.
• Ability to collaborate cross-functionally with Finance, Commercial, Fleet, Data Science, and Commercial teams.
• Ability to provide data-driven insights to support decision-making.

Responsibilities

• Support the Director of Data Science & Risk Management in executing the Group’s Residual Value (RV) risk framework across all automotive brands and multiple mobility business units.
• Forecast residual values, monitor portfolio risk exposure, and track used-car market dynamics.
• Provide data-driven insights that support RV setting, pricing, reserve adequacy, and remarketing decisions.
• Leverage AI, ML, and modern data tools to enhance forecasting accuracy, automate reporting, and accelerate insight generation.
• Work cross-functionally with Finance, Commercial, Fleet, Data Science, and Used-Car Operations teams to protect asset value and safeguard portfolio profitability.

Skills

Data science

Risk management

Analytical skills

Modelling

Forecasting

AI/ML

Data tools

Cross-functional collaboration

Tools

AI/ML tools

Job description

Responsibilities

• Support the Director of Data Science & Risk Management in executing the Group’s Residual Value (RV) risk framework across all automotive brands and multiple mobility business units.
• Focus on analytical, modelling and reporting activities required to forecast residual values, monitor portfolio risk exposure, and track used-car market dynamics.
• Provide data-driven insights that support RV setting, pricing, pricing, reserve adequacy, and remarketing decisions.
• Actively leverage AI, machine learning, and modern data tools to enhance forecasting accuracy, automate reporting, and accelerate insight generation.
• Work cross-functionally with Finance, Commercial, Fleet, Data Science, and Used-Car Operations teams to protect asset value and safeguard portfolio profitability.

Requirements

• Proven experience in data science and risk management within the automotive or mobility sector.
• Strong analytical, modelling, and reporting capabilities.
• Proficiency in AI, machine learning, and modern data tools.
• Ability to collaborate cross-functionally with Finance, Commercial, Fleet, Data Science, and Commercial teams.
• Ability to provide data-driven insights to support decision-making.

About the Company

[Company Name Not Provided in Job Posting]