Supervisor, Actuarial Predictive Modeling

AmTrust Financial Services, Inc.•New York, NY

22h•$75,000 - $165,000

About The Position

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.

Requirements

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
Proven ability to build consensus and drive large-scale projects to conclusion
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

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
Provide input on cross-departmental steering committees for strategic projects
Maintain an up-to-date understanding of the insurance landscape, emerging trends, data science concepts, and new technologies impacting pricing models
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
As a supervisor, work closely with junior staff to oversee the development of professional skills, elevate technical and actuarial knowledge, and guide projects to successful and timely completion
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