Employer Industry: Property and Casualty Insurance

Why consider this job opportunity:
- Salary up to $213,000
- Opportunity for a company-wide annual discretionary bonus of up to 15% of eligible pay
- Flexible working options: remote, hybrid, or in-person
- Commitment to inclusion and diversity within the workplace
- Supportive company culture focused on community service and innovation
- Opportunities for professional development and mentorship

What to Expect (Job Responsibilities):
- Perform GLM and other statistical techniques to build and improve auto and homeowners rating algorithms
- Evaluate model impacts and demonstrate expected results from statistical models
- Implement end-to-end modeling processes, including data gathering and validation
- Collaborate with Pricing and Product Management for filing support and product performance monitoring
- Review work of peers and provide training to junior analysts

What is Required (Qualifications):
- BA/BS in statistics, mathematics, actuarial science, or a related field with 8 years of relevant experience
- ACAS Designation
- Strong understanding of GLM and predictive modeling techniques
- Proficient in Python, SAS, and/or R
- Deep knowledge of the property and casualty insurance industry and financial drivers of profitability

How to Stand Out (Preferred Qualifications):
- FCAS Designation
- Graduate degree in statistics, mathematics, actuarial science, or a related area
- Experience with the design and launch of new personal line products
- Demonstrates a company ownership mindset and willingness to support team initiatives
- Ability to travel as needed for role-related meetings

#PropertyAndCasualty #ActuarialScience #RemoteWork #DiversityAndInclusion #CareerGrowth

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