Overview Be among the first 25 applicants. This range is provided by Capgemini. Your vigente pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range MX$1.00/yr - MX$1.00/yr
About the Client Our Client is one of the United States' largest insurers, providing a wide range of insurance and financial services products with gross written premiums well over US$25 Billion (P&C;). They proudly serve more than 10 million U.S. households with more than 19 million individual policies across all 50 states through the efforts of over 48,000 exclusive and independent agents and nearly 18,500 employees. Finally, our Client is part of one of the largest Insurance Groups in the world.
Job Functions 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. The 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 AI).
Requirements 1 to 3 years of experience executing 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
AI techniques, inspects data bias such as potential bias introduced in data collection and / or data classification
Experience conducting 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.
Fluent in English- will work with a team in the US
Insurance Industry Experience preferred
Bachelor's degree preferred in Analytical field such as actuarial science, mathematics, engineering, economics
Other Critical Skills Model Validation - Advanced
Financial Modeling - Intermediate
Management Reporting - Intermediate
Data Analysis - Intermediate
Model Risk Management - Entry Level
Generative Artificial Intelligence - Entry Level
Machine Learning - Intermediate
Software / Tool Skills Python - Intermediate (4-6 Years)
SQL - Intermediate (4-6 Years)
SAS - Intermediate (4-6 Years)
Office Suite - Intermediate (4-6 Years)
Excel - Advanced (7+ Years)
VBA - Intermediate (4-6 Years)
AWS - Intermediate (4-6 Years)
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
About Capgemini Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 340,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group €22.5 billion in revenues in 2023.
https://www.capgemini.com/us-en/about-us/who-we-are/
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