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Role Summary

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HIGHLIGHTS

Associate actuarial analyst (P&C) focused on predictive modeling for pricing and reserving. You will build and monitor GLM/GBM models, prepare and validate data, and translate results for business partners. Hybrid role based in Madison, WI (minimum 10 days/month) with relocation support for eligible candidates.

JOB DESCRIPTION SUMMARY

Develop predictive models (GLM/GBM) to support P&C pricing and reserving
Prepare, validate, and QA internal data using Python and SQL
Build repeatable workflows for data prep, modeling, and validation
Hybrid: minimum 10 days per month in Madison, WI or Boston, MA offices
Associate-level role; pursuing ACAS/FCAS (exam-writing) candidates encouraged

DOMAIN EXPERTISE

Property and casualty products, pricing, and reserving
Underwriting guidelines and ratemaking concepts
Statistical and actuarial forecasting and modeling techniques
Data extraction, validation, and QA for analytics

KEY REQUIREMENTS

Basic knowledge of P&C products, pricing, and reserving
Experience performing statistical or actuarial analysis and modeling
Ability to extract, validate, and prepare data for modeling
Eligible to work in the US without sponsorship

TECH STACK

Excel

Salary Pro Post a Job

Log in

Role Summary

Loading...

HIGHLIGHTS

Associate actuarial analyst (P&C) focused on predictive modeling for pricing and reserving. You will build and monitor GLM/GBM models, prepare and validate data, and translate results for business partners. Hybrid role based in Madison, WI (minimum 10 days/month) with relocation support for eligible candidates.

JOB DESCRIPTION SUMMARY

Develop predictive models (GLM/GBM) to support P&C pricing and reserving
Prepare, validate, and QA internal data using Python and SQL
Build repeatable workflows for data prep, modeling, and validation
Hybrid: minimum 10 days per month in Madison, WI or Boston, MA offices
Associate-level role; pursuing ACAS/FCAS (exam-writing) candidates encouraged

DOMAIN EXPERTISE

Property and casualty products, pricing, and reserving
Underwriting guidelines and ratemaking concepts
Statistical and actuarial forecasting and modeling techniques
Data extraction, validation, and QA for analytics

KEY REQUIREMENTS

Basic knowledge of P&C products, pricing, and reserving
Experience performing statistical or actuarial analysis and modeling
Ability to extract, validate, and prepare data for modeling
Eligible to work in the US without sponsorship

TECH STACK

Excel

P&C/Insurer/IC Level

Associate Actuarial Analyst - Predictive Modeling (Hybrid)

American Family Insurance•Madison, Wisconsin, United States•1d ago

HybridNot SpecifiedPredictive Modelling & MLPricing & RatingReserving & Valuation

Job Overview

Salary

$62k - $103k

Work Type

Permanent

Full Time

Ideal Candidate Profile

An Associate-level P&C actuarial analyst pursuing ACAS/FCAS with hands-on Python experience and exposure to GLM/GBM modeling, who can support pricing and reserving analytics and communicate results to business partners.

Benefits

Health InsuranceDental InsuranceVision Insurance401(k) PlanAnnual BonusGenerous VacationPaid Parental LeaveRelocation AssistanceHybrid Work

Fresh Role

Premium Window

1d

1 days ago

Strategy: Maximize Application Quality

Applications submitted within 72 hours are 2x more likely to land an interview.

"Recruiters are actively watching. Take time to tailor your keywords."

Job Overview

Salary

$62k - $103k

Work Type

Permanent

Full Time

Ideal Candidate Profile

An Associate-level P&C actuarial analyst pursuing ACAS/FCAS with hands-on Python experience and exposure to GLM/GBM modeling, who can support pricing and reserving analytics and communicate results to business partners.

Benefits

Health InsuranceDental InsuranceVision Insurance401(k) PlanAnnual BonusGenerous VacationPaid Parental LeaveRelocation AssistanceHybrid Work

Fresh Role

Premium Window

1d

1 days ago

Strategy: Maximize Application Quality

Applications submitted within 72 hours are 2x more likely to land an interview.

"Recruiters are actively watching. Take time to tailor your keywords."

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