Role Summary

Role type

Actuarial data science crossover

Closer to a data science crossover than a pricing-underwriting partner because predictive modelling and AI-based process improvement are unusually prominent for an entry-level actuarial role.

Entry-level P&C Actuarial Analyst role in Melbourne, Florida, supporting personal and commercial lines pricing, product development, reserving, and predictive modelling. You’ll work with SQL, R, Python, Excel, and machine-learning methods while interacting with executives, portfolio managers, claims, and external partners in an onsite environment.

Requirements

Must have

Bachelor's or advanced degree in Actuarial Science, Mathematics, Statistics, or related field
At least one CAS exam passed
Advanced data and statistical programming skills including SQL, R and Python, with strong proficiency in Excel

Strongly preferred

Entrepreneurial mindset with ability to work in a dynamic, fast-paced environment
Strong analytical and problem-solving skills
Excellent organizational and time-management abilities
Collaborative and curious, eager to learn across actuarial, data science, and product functions
Strong interpersonal, collaborative, and presentation skills

Nice to have

1+ years of P&C actuarial experience

Skills & Domain

ToolsExcel

DomainP&C actuarial experience

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