FBS Risk Modeling Specialist – Insurance Sector

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October 31

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Capgemini

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Enterprise • Artificial Intelligence • Cybersecurity

Capgemini is a global leader in partnering with businesses to transform and manage their operations by harnessing the power of technology. With expertise across a wide array of industries such as aerospace, automotive, banking, and healthcare, Capgemini provides a constantly evolving portfolio of services to meet the ever-changing needs of their clients. Their offerings include cloud, cybersecurity, data and artificial intelligence, and enterprise management, among others. Capgemini also emphasizes innovation and sustainability, helping companies achieve digital transformation while promoting environmental and social responsibility. Additionally, Capgemini provides career opportunities across various levels and professions, encouraging innovation and diversity in its workforce.

10,000+ employees

Founded 1967

🏢 Enterprise

🤖 Artificial Intelligence

🔒 Cybersecurity

📋 Description

• This position is responsible for model validation and assessment of model suitability, including a range of activities designed to gain comfort that Model Owners adhere to the model risk management framework requirements. • This role will advise Model Owners in peer review standards as well as execute tests and techniques (example stress-testing, back-testing) for higher risk models. • The purpose of the role is to provide assurance for models across the enterprise for both financial and non-financial models (example pricing, reserving, economic valuation, economic capital, generative artificial intelligence). • Executes validation tests in accordance with the model risk management framework requirements such as critical review of data inputs and data quality, data controls, data parameters, etc. • For models using AI techniques, inspects data bias such as potential bias introduced in data collection and / or data classification. • Conducts validation tests for assumptions and expert judgements and / or model simplifications and limitations. • Interacts with stakeholders to present work product in a clear, concise fashion without need for guidance. • Challenges and advises stakeholders as appropriate. • Establishes relationships with stakeholders and colleagues. • Manages and prioritizes multiple projects through efficient time management. • Inspires, leads, and trains the modeling teams. • Coordinates necessary training to ensure the team is current on the developments in the catastrophe modeling field. • Performs other tasks as assigned.

🎯 Requirements

• Minimum 3 years of experience in analytical and statistical modelling, testing, and validation in the Insurance or Financial industry, including forecasting models as well as other business areas such as pricing, scoring etc. • Actuarial property/casualty insurance industry experience preferred. • High School Diploma or equivalent required. Bachelors degree preferred in an analytical field (Mathematics, Engineering, Actuarial Science, Economics, Atmospheric or Natural Science). • English level: Fluent (will be tested).

🏖️ Benefits

• Competitive salary and performance-based bonuses • Comprehensive benefits package • Career development and training opportunities • Flexible work arrangements (remote and/or office-based) • Dynamic and inclusive work culture within a globally renowned group • Private Health Insurance • Pension Plan • Paid Time Off • Training & Development