Supervisor, Actuarial Predictive Modeling

Responsibilities

• Collaborate with various teams to understand, develop, and implement predictive models for pricing, portfolio management, and planning purposes
• Ensure appropriate data adjustments and assumptions are applied during model development
• Challenge the model and communicate their strengths and weaknesses to stakeholders
• Validate models for their intended purpose and establish usage guardrails
• Drive decisions and alignment around model rollout, monitoring, and addressing potential misuse
• Provide timely support for model filings as needed
• Maintain positive collaboration with business and stakeholders, promptly resolve inquiries and requests, and communicate effectively to ensure transparency and common understanding of goals and prioritization
• Own actuarial documentation, play an active role in model filings, and help drive continuous improvements in team workflows
• Foster a strong risk management culture by maintaining model documentation, managing change management processes, and adhering to established model governance policies and best practices for data and code management
• Assemble cross-departmental steering committees for strategic projects
• Develop and enhance team processes to be effective, repeatable, and scalable
• Serve as an actuarial modeling expert by providing technical model support and relevant training to other actuaries and underwriters within the organization

Qualifications

• Bachelor's degree in Actuarial Science, Mathematics, or a related field
• 5+ years of actuarial pricing experience, ideally in small commercial insurance
• ACAS or FCAS designation and in good standing with the Casualty Actuarial Society
• Strong data exploration and manipulation skills, ideally in SQL, R, or Python
• Experience working with Git
• Solid understanding of statistical methods applied to insurance data, with the ability to identify and articulate data and modeling issues
• Experience with predictive models for Pricing including understanding of assumptions, interpretation of results, and standard model evaluation techniques
• Experience with modern machine learning technologies such as GBM
• Experience managing, supervising, or mentoring team members
• Promised ability to build consensus and drive large-scale projects to conclusion
• Proven ability to build a sense of trust and rapport that creates an effective workplace
• Excellent problem-solving skills and attention to detail
• Demonstrated ability to experiment with and learn new technologies