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Role Summary

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HIGHLIGHTS

P&C actuary role at a West Coast carrier based in Reno (hybrid). The Actuary will work across multiple actuarial disciplines on predictive modeling, data analytics, and stakeholder reporting. Requires ACAS and 5+ years of actuarial experience, strong SQL skills, and advanced R/Python familiarity. Hybrid schedule: Mon–Wed in office, Thu–Fri remote.

JOB DESCRIPTION SUMMARY

  • Work across multiple actuarial disciplines on analytics and modelling
  • Implement predictive-modeling findings and support business decisions
  • Extensive SQL required; R or Python highly preferred
  • Hybrid role — Mon–Wed in office (Reno/Monterey/Phoenix), Thu–Fri remote
  • ACAS required and 5+ years of actuarial experience

DOMAIN EXPERTISE

  • actuarial experience (P&C)
  • predictive modelling implementation
  • SQL and relational databases
  • R or Python statistical programming
  • data visualization (Tableau)

KEY REQUIREMENTS

  • Bachelor's or Master's in a quantitative field required
  • 5+ years of actuarial experience with increasing responsibility
  • Associate of the Casualty Actuarial Society (ACAS) required
  • Extensive SQL and relational database experience required
  • Leadership and mentorship of junior team members expected

TECH STACK

  • Tableau
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Role Summary

Loading...

HIGHLIGHTS

P&C actuary role at a West Coast carrier based in Reno (hybrid). The Actuary will work across multiple actuarial disciplines on predictive modeling, data analytics, and stakeholder reporting. Requires ACAS and 5+ years of actuarial experience, strong SQL skills, and advanced R/Python familiarity. Hybrid schedule: Mon–Wed in office, Thu–Fri remote.

JOB DESCRIPTION SUMMARY

  • Work across multiple actuarial disciplines on analytics and modelling
  • Implement predictive-modeling findings and support business decisions
  • Extensive SQL required; R or Python highly preferred
  • Hybrid role — Mon–Wed in office (Reno/Monterey/Phoenix), Thu–Fri remote
  • ACAS required and 5+ years of actuarial experience

DOMAIN EXPERTISE

  • actuarial experience (P&C)
  • predictive modelling implementation
  • SQL and relational databases
  • R or Python statistical programming
  • data visualization (Tableau)

KEY REQUIREMENTS

  • Bachelor's or Master's in a quantitative field required
  • 5+ years of actuarial experience with increasing responsibility
  • Associate of the Casualty Actuarial Society (ACAS) required
  • Extensive SQL and relational database experience required
  • Leadership and mentorship of junior team members expected

TECH STACK

  • Tableau

Job Overview

Salary
$102k - $168k
Years of Experience
5+ Years
Work Type
Permanent
Full Time

Ideal Candidate Profile

Ideal for an ACAS-qualified P&C actuary with 5+ years' experience who is strong in SQL and predictive modelling (R/Python) and enjoys mentoring juniors and translating analytics to business stakeholders.

ACAS

Benefits

Hybrid WorkHealth InsuranceDental InsuranceVision InsuranceLife InsuranceShort/Long Term Disability401(k) PlanAnnual BonusStudy SupportExam Fees Covered
Shortlist Forming
Closing Soon
73d
73 days ago

Strategy: Speed over Perfection

By Day 21, visibility drops significantly. Recruiters are focusing on existing candidates.

"Don't wait for a cover letter. The requisition could close tomorrow. Apply now."

Job Overview

Salary
$102k - $168k
Years of Experience
5+ Years
Work Type
Permanent
Full Time

Ideal Candidate Profile

Ideal for an ACAS-qualified P&C actuary with 5+ years' experience who is strong in SQL and predictive modelling (R/Python) and enjoys mentoring juniors and translating analytics to business stakeholders.

ACAS

Benefits

Hybrid WorkHealth InsuranceDental InsuranceVision InsuranceLife InsuranceShort/Long Term Disability401(k) PlanAnnual BonusStudy SupportExam Fees Covered
Shortlist Forming
Closing Soon
73d
73 days ago

Strategy: Speed over Perfection

By Day 21, visibility drops significantly. Recruiters are focusing on existing candidates.

"Don't wait for a cover letter. The requisition could close tomorrow. Apply now."

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