Senior Actuarial Analyst I

				Overview:

Looking for a driven, inventive, and thoughtful actuarial candidate to help guide the adoption of complex models for multiple lines of business. This person will work closely with data scientists, other actuarial staff, and underwriters to create frameworks for model adoption, set model objectives, analyze modeling data, validate models, and assess model impact to help drive profitable growth at AmTrust. Effectively communicating the results of your work to technical and non-technical audiences is key. 

AmTrust is an innovative, customer-centric leader in commercial insurance. We are looking for someone who can work with the various involved parties, both internally and externally to gather information and evaluate the risk and reward of the opportunities presented. This person will assist with making creative methodology changes, driving a process to a conclusion while meeting critical deadlines and/or improving team workflow. 

Responsibilities:

* Maintain an up-to-date understanding of the insurance landscape, emerging trends, data science concepts, and new technologies that may impact pricing models
* Collaborate with various teams to understand, develop, and implement predictive models for pricing, portfolio management, and planning purposes
* Communicate with business and technical stakeholders to ensure transparency and common understanding of goals and prioritization
* Foster a strong risk management culture within the department, including maintaining model documentation, managing model change management processes, and adhering to established governance policies and data operations and coding best practices
* Leverage database and business intelligence tools to extract, analyze, and communicate data to support robust business decisions
* 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 related field
* 2+ years of actuarial experience and actively pursuing ACAS or FCAS
* 2+ years of hands-on SQL, Python or R experience with strong data exploration and manipulation skills
* 1+ years of experience in predictive modeling, familiarity with GLM and GBM a plus
* Strong grasp of statistical methods applied to insurance data, including the ability to identify and articulate data and modeling issues
* 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

The expected salary range for this role is $64,400-$110,000/year. 

Please note that the salary information shown above is a general guideline only. Salaries are based upon a wide range of factors considered in making the compensation decision, including, but not limited to, candidate skills, experience, education and training, the scope and responsibilities of the role, as well as market and business considerations.

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