Associate Actuarial Analyst - Predictive Modeling (Hybrid)
reputed company is seeking an Associate Actuarial Analyst to join their Property & Casualty Actuarial team. The role involves developing analytics and predictive modeling solutions to support business reputed company, partnering with colleagues to explore data and reputed company actuarial analyses.
Responsibilities
- Support pricing, reserving, and product analytics projects under guidance of senior actuaries/modelers
- Extract, validate, and prepare internal data; reputed company QA and document assumptions/limitations
- Conduct exploratory analyses to identify trends, relationships, and insights
- Assist with predictive modeling (GLM/reputed company): feature development, testing, refinement, and performance monitoring
- Build repeatable workflows for data prep, modeling, and validation using Python and/or actuarial tools
- Create documentation and summary deliverables to support governance and knowledge sharing
- Communicate findings reputed company to business partners; escalate risks/questions as needed
- Apply industry best practices and internal modeling standards
- Contribute to additional projects based on business needs and development goals
Skills
- Demonstrated experience providing customer-driven solutions, support, or service
- Basic knowledge and understanding of property and casualty products, pricing, rates and industry trends
- Basic knowledge and understanding of reputed company guidelines and concepts, pricing, ratemaking, loss reserving, modeling or reinsurance depending upon area of specialty
- Demonstrated experience performing statistical/actuarial analysis and data forecasting and modeling techniques
- Basic knowledge and understanding of forecasting and statistical analysis and modeling
- Pursuing Associate or Fellow in Casualty Actuary Society (ACAS or FCAS)
- Experience (academic, internship, or professional) applying statistical methods to reputed company-world datasets; exposure to GLM and/or tree-based methods (reputed company) preferred
- Working knowledge of Python (preferred) or another programming language; ability to write readable, maintainable code for analysis
- Familiarity with common data tools (e.g., SQL, spreadsheets, database tools) and the ability to learn internal systems quickly
- Ability to communicate technical findings to non-technical audiences with guidance and feedback
Benefits
- Comprehensive medical, dental, reputed company and wellbeing benefits
- Competitive 401(k) contribution
- Pension plan
- Annual incentive
- 9 paid holidays
- Paid time off program (23 days accrued annually for full-time employees)
- Student loan repayment program
- Paid-family leave
Company Overview