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Role Summary

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HIGHLIGHTS

Senior actuarial analytics role in health insurance focusing on stop loss, level-funded and employer large group pricing. You will build pricing and forecasting models, design data pipelines from MRFs, apply ML techniques, and partner with underwriting, finance and product. Remote (Dallas) role with hybrid option in Austin, TX; manager/director level with team mentoring responsibilities.

JOB DESCRIPTION SUMMARY

  • Lead pricing and forecasting for stop loss, level-funded and employer large group
  • Build and automate data pipelines from MRFs using Python and SQL
  • Apply AI/ML to improve predictive accuracy and operational efficiency
  • Partner with underwriting, finance and product on rate development and filings
  • Remote (Dallas) with light travel or hybrid option in Austin, TX

DOMAIN EXPERTISE

  • stop loss pricing
  • level-funded employer health pricing
  • employer large group pricing
  • MRF data handling and healthcare pricing data
  • large-scale data processing with Python/SQL

KEY REQUIREMENTS

  • ASA or FSA (Associate or Fellow of the SOA) required
  • Bachelor’s or Master’s degree in actuarial science, math, statistics, or CS
  • 5+ years actuarial experience in health insurance, managed care, or healthcare analytics
  • Advanced proficiency in Python and SQL/Vibe; large-scale data processing experience
  • Hands-on experience with Machine-Readable Files (MRF) and healthcare pricing data

TECH STACK

  • No tech stack specified
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Role Summary

Loading...

HIGHLIGHTS

Senior actuarial analytics role in health insurance focusing on stop loss, level-funded and employer large group pricing. You will build pricing and forecasting models, design data pipelines from MRFs, apply ML techniques, and partner with underwriting, finance and product. Remote (Dallas) role with hybrid option in Austin, TX; manager/director level with team mentoring responsibilities.

JOB DESCRIPTION SUMMARY

  • Lead pricing and forecasting for stop loss, level-funded and employer large group
  • Build and automate data pipelines from MRFs using Python and SQL
  • Apply AI/ML to improve predictive accuracy and operational efficiency
  • Partner with underwriting, finance and product on rate development and filings
  • Remote (Dallas) with light travel or hybrid option in Austin, TX

DOMAIN EXPERTISE

  • stop loss pricing
  • level-funded employer health pricing
  • employer large group pricing
  • MRF data handling and healthcare pricing data
  • large-scale data processing with Python/SQL

KEY REQUIREMENTS

  • ASA or FSA (Associate or Fellow of the SOA) required
  • Bachelor’s or Master’s degree in actuarial science, math, statistics, or CS
  • 5+ years actuarial experience in health insurance, managed care, or healthcare analytics
  • Advanced proficiency in Python and SQL/Vibe; large-scale data processing experience
  • Hands-on experience with Machine-Readable Files (MRF) and healthcare pricing data

TECH STACK

  • No tech stack specified

Job Overview

Salary
$140k - $220k
Qualification
ASA
Years of Experience
5+ Years
Work Type
Permanent
Full Time

Ideal Candidate Profile

Ideal for a manager-level actuary (ASA/FSA) with 5+ years in health insurance pricing for stop loss and large employer groups, strong Python/SQL skills, MRF experience, and a knack for mentoring and cross-functional collaboration.

ASAFSA

Benefits

Shortlist Forming
Closing Soon
76d
76 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
$140k - $220k
Qualification
ASA
Years of Experience
5+ Years
Work Type
Permanent
Full Time

Ideal Candidate Profile

Ideal for a manager-level actuary (ASA/FSA) with 5+ years in health insurance pricing for stop loss and large employer groups, strong Python/SQL skills, MRF experience, and a knack for mentoring and cross-functional collaboration.

ASAFSA

Benefits

Shortlist Forming
Closing Soon
76d
76 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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