Insurance Data Modeler
3 weeks ago
Are you a visionary Insurance Data Modeler ready to ignite innovation in the insurance industry? American Collectors Insurance is on the hunt for a data virtuoso to pioneer our next-generation insurance program. As our Insurance Data Modeler, you'll dive headfirst into a dynamic, startup-like environment where your passion for data is your superpower. Harness your expertise in data modeling and predictive analytics to sculpt intricate rating plans and models to revolutionize our operation. Collaborate with cross-functional teams and wield advanced statistical methods to unleash the power of data to drive strategic insights. If you're fueled by the thrill of pushing boundaries and thrive in a fast-paced landscape, join us at the forefront of insurance innovation
Job Summary: The Insurance Data Modeler role at American Collectors Insurance uses GLM and other advanced statistical methods to build collector auto rating plans and models to improve efficiencies across the company. Candidates should have enhanced analytical skills to perform the advanced modeling of the role, as well as strong communication skills that allow them to discuss these complex models with both leadership and staff from various insurance teams.
Responsibilities:
Utilize SAS, R, Python or other software to extract, manipulate, and analyze large sets to generate complex predictive models enabling the creation of rating plans and evaluation of risk and profitability.
Execute all aspects of analytics initiatives including data profiling/cleansing, exploratory data analysis, predictive model development, model evaluation and benefit estimation.
Build various scoring models to evaluate underwriting risk, reduce acquisition costs, and improve customer retention.
Collaborate with Insurance Program Managers and Pricing Actuaries to refactor, enhance, and/or replace existing rating plan to file, approval, and implement recommendations and monitor outcomes.
Identify drivers of insurance costs and estimate the expected losses for segments of risks using advanced statistical and analytical techniques.
Apply data mining and machine learning techniques to develop predictive models/analytical insights from auto insurance data sets augmented by external data sources.
Deliver effective presentations of product plan changes and product performance.
Communicate analysis, strategy, and recommendations to both technical and non-technical audiences.
Performs special projects and other duties as assigned.
Qualifications:
3 or more years of experience developing and implementing multivariate predictive models using GLM and other statistical methods.
Bachelor’s degree or higher in statistics, mathematics, engineering, economics or related field.
Advanced skills and training in predictive modeling, data mining and other quantitative and research analytics.
Exceptional programming ability in SAS, SQL, R, Python and other programming languages.
High level of organizational and project management experience.
Ability to function in a fast-paced environment and manage multiple projects simultaneously.
Solid communication and interpersonal skills, with the ability to collaborate effectively with cross functional teams.
Proficient in Microsoft Office products.
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