Supervisor, Actuarial Predictive Modeling

We are seeking a driven, inventive, and thoughtful actuarial candidate to guide the adoption of complex models across multiple lines of business. This role will be a part of our Actuarial Predictive Modeling team, which is responsible for ensuring that pricing models are built with actuarial principles in mind. The role involves collaborating with underwriting management, data scientists, and other actuarial teams to build pricing models and evaluate model usage initiatives. More specifically, the candidate will be expected to propose model experimentation ideas during development, recommend expected loss adjustments and guardrails for the final trained models, communicate the benefits and concerns of various technical modeling choices, and influence management decisions related to predictive model usage.

This is a supervisory position overseeing one or more members of the Actuarial Predictive Modeling team, with a strong emphasis on people management and team leadership.

The candidate will be expected to have a high level of proficiency and knowledge in both actuarial and modeling areas, as well as a genuine interest in developing others.

The candidate will guide staff members in both everyday project work and long-term professional development.

Effective communication with both technical and non-technical audiences is crucial, as is the ability to understand business priorities, translate them into technical requirements, and manage resources efficiently.

The ideal candidate will be able to think quickly on their feet in response to management queries.

Additionally, the candidate will own actuarial documentation, play an active role in model filings, and help drive continuous improvements in team workflows.

• 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