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Role Summary

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HIGHLIGHTS

Senior actuarial engineering role at a national brokerage (hybrid in Dallas, TX). Lead development, validation and operationalization of commercial-lines actuarial models (D&O, Cyber, GL, PL) using Python and Databricks, and translate outputs into client- and C-suite-ready deliverables while partnering with solution engineers.

JOB DESCRIPTION SUMMARY

  • Build, validate, and operationalize commercial-lines actuarial models in Python
  • Focus on D&O, Cyber, General Liability and Professional Liability analytics
  • Work on Azure Databricks platform with solution engineering partners
  • Hybrid role — at least 3 days/week in an EPIC office (office flexible)
  • Senior-level role for credentialed actuaries with strong commercial-lines experience

DOMAIN EXPERTISE

  • Commercial lines actuarial experience across D&O, Cyber, GL, PL
  • Experience building actuarial models in Python
  • Operationalizing models on Databricks/Azure or equivalent
  • Familiarity with brokerage analytics and placement/renewal cycles
  • SDLC fluency including version control and testing

KEY REQUIREMENTS

  • 7+ years of actuarial experience with 3+ years in commercial-lines brokerage/carrier/consulting
  • Bachelor's degree in actuarial science, mathematics, statistics, or related field
  • Production-level Python for actuarial modelling and data manipulation
  • Experience operationalizing models within an SDLC and collaborating on Databricks/Azure
  • Proven ability to translate actuarial outputs into executive-facing deliverables

TECH STACK

  • Databricks
  • Excel
  • PowerPoint
  • Git_GitHub
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Role Summary

Loading...

HIGHLIGHTS

Senior actuarial engineering role at a national brokerage (hybrid in Dallas, TX). Lead development, validation and operationalization of commercial-lines actuarial models (D&O, Cyber, GL, PL) using Python and Databricks, and translate outputs into client- and C-suite-ready deliverables while partnering with solution engineers.

JOB DESCRIPTION SUMMARY

  • Build, validate, and operationalize commercial-lines actuarial models in Python
  • Focus on D&O, Cyber, General Liability and Professional Liability analytics
  • Work on Azure Databricks platform with solution engineering partners
  • Hybrid role — at least 3 days/week in an EPIC office (office flexible)
  • Senior-level role for credentialed actuaries with strong commercial-lines experience

DOMAIN EXPERTISE

  • Commercial lines actuarial experience across D&O, Cyber, GL, PL
  • Experience building actuarial models in Python
  • Operationalizing models on Databricks/Azure or equivalent
  • Familiarity with brokerage analytics and placement/renewal cycles
  • SDLC fluency including version control and testing

KEY REQUIREMENTS

  • 7+ years of actuarial experience with 3+ years in commercial-lines brokerage/carrier/consulting
  • Bachelor's degree in actuarial science, mathematics, statistics, or related field
  • Production-level Python for actuarial modelling and data manipulation
  • Experience operationalizing models within an SDLC and collaborating on Databricks/Azure
  • Proven ability to translate actuarial outputs into executive-facing deliverables

TECH STACK

  • Databricks
  • Excel
  • PowerPoint
  • Git_GitHub

Job Overview

Salary
$180k - $220k
Years of Experience
7+ Years
Work Type
Permanent
Full Time

Ideal Candidate Profile

Senior credentialed actuary (ACAS/FCAS preferred) with 7+ years in commercial lines who writes production-level Python, understands Databricks/Azure workflows, and can build client-ready analytics for brokers and executives.

Benefits

Generous VacationPaid Parental LeaveTuition ReimbursementMentorship Program401(k) PlanHealth InsuranceDental InsuranceVision InsuranceWellness ProgramVolunteering Program
Active Screening
Standard Review
7d
7 days ago

Strategy: Apply This Week

Recruiters typically begin first-round screenings within 14 days.

"You are entering the second review batch. Optimize for ATS keywords."

Job Overview

Salary
$180k - $220k
Years of Experience
7+ Years
Work Type
Permanent
Full Time

Ideal Candidate Profile

Senior credentialed actuary (ACAS/FCAS preferred) with 7+ years in commercial lines who writes production-level Python, understands Databricks/Azure workflows, and can build client-ready analytics for brokers and executives.

Benefits

Generous VacationPaid Parental LeaveTuition ReimbursementMentorship Program401(k) PlanHealth InsuranceDental InsuranceVision InsuranceWellness ProgramVolunteering Program
Active Screening
Standard Review
7d
7 days ago

Strategy: Apply This Week

Recruiters typically begin first-round screenings within 14 days.

"You are entering the second review batch. Optimize for ATS keywords."

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