Predictive Modeler job at Arbella Insurance Group

Job Description

The Predictive Modeler will apply statistical techniques to develop and execute predictive models and advanced analytics. This individual will have the opportunity to work with a team of predictive modelers and analysts to impact business initiatives and strategy development for all lines of business. Level commensurate with experience and qualifications.

Using SAS, R, or other tools, builds models predicting claim costs, frequency, pure premium, customer retention, agent performance or other relevant business outcomes.
Using SAS, R, or other tools, executes segmentation and advanced analytics to support business initiatives.
Participates in the development of new pricing plans.
Engages in independent research of statistical techniques and their application to the business; assists in developing new project ideas to support the business.
Collaborates with other areas within the Actuarial and Research Analytics department and cross-functionally to implement models.
Monitors existing predictive models for ongoing efficiency and stability; performs refreshes as necessary.
Communicates findings and recommendations via written and oral presentations; conveys a clear understanding of business implications.
Effectively handles data through quality checks and appropriate transformations; expertly and efficiently handles large datasets.
Documents activities in an organized manner to facilitate knowledge retention.
Participates in high level company project teams as a representative of the Actuarial and Research Analytics department.
Performs all functions with minimal supervision. Keeps manager informed verbally and in writing of activities and problems within assigned area of responsibility; refers matters beyond limits of authority and expertise to manager for direction.
Performs other related work as required or requested.

Required Experience

Minimum Bachelor degree within a quantitative field.
Strong analytical skills to effectively apply statistical methodologies in addressing business challenges.
Predictive modeling and analytics background, either through direct experience, or a relevant degree.
P&C experience a plus, in particular experience with pricing strategies.
Skilled user of SAS, R, or other statistical software.

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