Model Governance Lead (Global Analytics)

Chubb is seeking a highly motivated and experienced Model Governance Lead to join our growing Global Analytics team. This critical role will play a pivotal role in establishing and leading the implementation of a comprehensive model governance framework across all analytics functions globally. As a recognized AI and modeling expert, you will ensure the responsible development, deployment, and monitoring of our models, mitigating risks, and maximizing their positive impact on Chubb's business.

Responsibilities:

• Develop and implement a global model governance framework for Chubb:
• Define and adapt industry best practices to Chubb's specific needs and regulatory requirements.
• Develop and document clear model governance standards, policies, and procedures aligned with Chubb's risk appetite and regulatory environment.
• Design and implement processes for robust model validation, monitoring, and performance assessment, including stress testing and backtesting.
• Establish a risk management framework for model development and use, considering factors like fairness, explainability, and bias mitigation.
• Define clear roles and responsibilities for stakeholders involved in the model lifecycle within Chubb's organizational structure.
• Lead the implementation of the model governance framework across all analytics functions:
• Develop training programs and materials to educate Chubb employees on model governance principles and practices.
• Collaborate with cross-functional teams to integrate model governance procedures into existing workflows across underwriting, product development, pricing, claims, and other relevant departments.
• Review and approve models for deployment based on established governance requirements.
• Manage and track the performance of deployed models, identifying and addressing any potential issues or deviations.
• Provide regular reports and updates on model performance and governance adherence to senior stakeholders.
• Champion a culture of responsible AI and model development within Chubb.
• Stay current on industry best practices and emerging trends in model governance:
• Actively participate in relevant internal governance forums and committes
• Research and evaluate new tools and technologies that can enhance model governance effectiveness for Chubb.
• Share insights and best practices across the organization and contribute to the development of industry standards and regulations.
• Serve as a subject matter expert on AI and modeling:
• Provide guidance and support to Chubb teams on technical aspects of model development, deployment, and explanation.
• Conduct training sessions and workshops on AI and modeling concepts for various audiences within Chubb.
• Participate in research and development activities related to AI and modeling to advance Chubb's capabilities.
• Collaborate effectively with cross-functional teams:
• Build strong relationships and trust with stakeholders across all levels and departments within Chubb.
• Communicate effectively with both technical and non-technical audiences, tailoring communication to their specific needs and understanding.
• Influence and secure buy-in for model governance initiatives and foster collaboration across diverse teams.
• Manage and resolve conflicts effectively, prioritizing Chubb's overall objectives and risk management framework.

• Master's degree in Statistics, Computer Science, Data Science, Mathematics, or a related field.
• Minimum of 5 years of experience in model development, deployment, and monitoring, preferably within the insurance or financial services industry.
• Proven experience in developing and implementing model governance frameworks, ideally aligned with regulatory requirements like Solvency II and NAIC Model Governance Guidelines.
• Deep understanding of AI and modeling concepts, including machine learning algorithms, bias mitigation techniques, and explainability methods.
• Experience working with a variety of modeling tools and platforms commonly used in the insurance industry (e.g., SAS, R, Python, TensorFlow).
• Excellent analytical and problem-solving skills.
• Strong communication and interpersonal skills, with a proven ability to communicate complex technical concepts clearly and concisely to diverse audiences.
• Proven ability to work independently and as part of a team, leading and motivating others while fostering collaboration.
• Excellent project management and organizational skills.
• Strong attention to detail and commitment to the highest quality standards.
• Passion for innovation and continuous learning, staying at the forefront of AI and modeling advancements.

Bonus Points:

• Experience working in a global, ma