Model Governance Lead (Global Analytics)

Responsibilities

• Develop and implement a global modelernance framework for Chubb :
• Define and adapt industry best practices to Chubb's specific needs and regulatory requirements.
• Develop and document clear modelernance 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 modelernance framework across all analytics functions :
• Develop training programs and materials to educate Chubb employees on modelernance principles and practices.
• Collaborate with cross-functional teams to integrate modelernance procedures into existing workflows across underwriting, product development, pricing, claims, and other relevant departments.
• Review and approve models for deployment based on establishedernance 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 andernance 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 modelernance :
• Actively participate in relevant internalernance forums andmittes
• Research and evaluate new tools and technologies that can enhance modelernance 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.
• Influence and secure buy-in for modelernance initiatives and foster collaboration across diverse teams.
• Manage and resolve conflicts effectively, prioritizing Chubb's overall objectives and risk management framework.

Qualifications

• Master's degree in Statistics,puter 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 modelernance frameworks, ideally aligned with regulatory requirements like Solvency II and NAIC Modelernance 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 platformsmonly used in the insurance industry (, SAS, R, Python, TensorFlow).
• Excellent analytical and problem-solving skills.
• Strongmunication and interpersonal skills, with a proven ability tomunicateplex 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 andmitment 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, matrix-structured organization like Chubb.
• Understanding of regulatorypliance requirements for models within the insurance industry.
• Specific experience with modelernance frameworks and tools relevant to the insurance industry.

The pay range for the role is $128,500 to $215,000. The specific offer will depend on an applicant's skills and other factors.

This role may also be eligible to participate in a discretionary annual incentive program. Chubb offers aprehensive benefits package, more details on which can be found on our careers website.

The disclosed pay range estimate may be adjusted for the applicable geographic differential for the location in which the position is filled.

About Us

Chubb is a world leader in insurance. With operations in 54 countries, Chubb providesmercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance, and life insurance to a diverse group of clients.

Thepany is distinguished by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength, underwriting excellence, superior claims handling expertise and local operations globally.

At Chubb, we aremitted to equal employment opportunity andpliance with all laws and regulations pertaining to it. Our policy is to provide employment, training,pensation, promotion, and other conditions or opportunities of employment, without regard to race, color, religious creed, sex, gender, gender identity, gender expression, sexual orientation, marital status, national origin, ancestry, mental and physical disability, medical condition, genetic information, military and veteran status, age, and pregnancy or any other characteristic protected by law.

Performance and qualifications are the only basis upon which we hire, assign, promote,pensate, develop and retain employees.

Chubb prohibits all unlawful discrimination, harassment and retaliation against any individual who reports discrimination or harassment. Job ID 300000291077013