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Role Summary

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HIGHLIGHTS

P&C reserving role on USAA's Property Loss Reserving and Reserving Development team. You will apply advanced loss reserving techniques, run catastrophe models, and deliver claims analytics using Python/R/SQL/SAS. Remote-eligible within the continental U.S.; Charlotte, NC area hires expected onsite four days per week.

JOB DESCRIPTION SUMMARY

  • Lead property loss reserving analyses and develop new reserving methodologies
  • Run and interpret catastrophe models to support reserving decisions
  • Use Python, R, SQL, SAS and BI tools for data analysis and visualization
  • Remote-eligible; within 60 miles of an office expected onsite four days/week
  • ACAS credential required with 4+ years actuarial or analytical experience

DOMAIN EXPERTISE

  • Actuarial or analytical business experience
  • Loss reserving techniques and claims analytics
  • Advanced data analysis with Python, R, SQL or SAS

KEY REQUIREMENTS

  • Associate of the Casualty Actuarial Society (ACAS) credential
  • 4 years of actuarial or analytical business experience
  • Advanced skills with Python, R, SQL, SAS or BI tools for analysis
  • Experience with loss reserving techniques and claims analytics
  • Eligible to work in the US without visa sponsorship

TECH STACK

  • No tech stack specified
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Role Summary

Loading...

HIGHLIGHTS

P&C reserving role on USAA's Property Loss Reserving and Reserving Development team. You will apply advanced loss reserving techniques, run catastrophe models, and deliver claims analytics using Python/R/SQL/SAS. Remote-eligible within the continental U.S.; Charlotte, NC area hires expected onsite four days per week.

JOB DESCRIPTION SUMMARY

  • Lead property loss reserving analyses and develop new reserving methodologies
  • Run and interpret catastrophe models to support reserving decisions
  • Use Python, R, SQL, SAS and BI tools for data analysis and visualization
  • Remote-eligible; within 60 miles of an office expected onsite four days/week
  • ACAS credential required with 4+ years actuarial or analytical experience

DOMAIN EXPERTISE

  • Actuarial or analytical business experience
  • Loss reserving techniques and claims analytics
  • Advanced data analysis with Python, R, SQL or SAS

KEY REQUIREMENTS

  • Associate of the Casualty Actuarial Society (ACAS) credential
  • 4 years of actuarial or analytical business experience
  • Advanced skills with Python, R, SQL, SAS or BI tools for analysis
  • Experience with loss reserving techniques and claims analytics
  • Eligible to work in the US without visa sponsorship

TECH STACK

  • No tech stack specified
P&C/Insurer/IC Level
USAA

Actuary

USAA•Charlotte, North Carolina, United States•1d ago
HybridNot SpecifiedReserving & ValuationCat ModellingPredictive Modelling & ML

Job Overview

Salary
$127k - $229k
Years of Experience
4+ Years
Work Type
Permanent
Full Time

Ideal Candidate Profile

An ACAS-qualified actuary with ~4+ years of P&C reserving or analytics experience who can run catastrophe models and use Python/R/SQL to deliver reserving insights and present to leadership.

ACAS

Benefits

Health InsuranceDental InsuranceVision Insurance401(k) PlanLife InsurancePaid Parental LeaveGenerous VacationWellness ProgramTraining Budget
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
$127k - $229k
Years of Experience
4+ Years
Work Type
Permanent
Full Time

Ideal Candidate Profile

An ACAS-qualified actuary with ~4+ years of P&C reserving or analytics experience who can run catastrophe models and use Python/R/SQL to deliver reserving insights and present to leadership.

ACAS

Benefits

Health InsuranceDental InsuranceVision Insurance401(k) PlanLife InsurancePaid Parental LeaveGenerous VacationWellness ProgramTraining Budget
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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