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Role Summary

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HIGHLIGHTS

Actuarial Data Scientist role focused on life insurance product development and pricing. You will build ML and statistical models for experience studies, reserve forecasting, and assumption setting, and productionize solutions in collaboration with IT and business partners. Hybrid role based in the US (referenced salary location Boston, MA; hiring location listed as Perry County, OH).

JOB DESCRIPTION SUMMARY

  • Develop ML and statistical models for experience studies and reserve forecasting
  • Translate analytics into assumption setting and product/pricing recommendations
  • Productionize models through collaboration with IT and operations
  • Hybrid working arrangement (company tags #LI-Hybrid)
  • Requires strong Python programming; MATLAB, R, SQL are beneficial

DOMAIN EXPERTISE

  • Life insurance product development or pricing
  • Experience studies and reserve forecasting
  • Assumption setting and risk modeling
  • Python for data analysis and production-quality code

KEY REQUIREMENTS

  • Experience in life insurance product development or pricing
  • Bachelor’s or advanced degree in a quantitative field
  • Strong Python skills for data analysis and production-quality code
  • Experience with experience studies, reserve forecasting, and risk modeling
  • Ability to analyze large, complex actuarial and financial datasets

TECH STACK

  • No tech stack specified
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Role Summary

Loading...

HIGHLIGHTS

Actuarial Data Scientist role focused on life insurance product development and pricing. You will build ML and statistical models for experience studies, reserve forecasting, and assumption setting, and productionize solutions in collaboration with IT and business partners. Hybrid role based in the US (referenced salary location Boston, MA; hiring location listed as Perry County, OH).

JOB DESCRIPTION SUMMARY

  • Develop ML and statistical models for experience studies and reserve forecasting
  • Translate analytics into assumption setting and product/pricing recommendations
  • Productionize models through collaboration with IT and operations
  • Hybrid working arrangement (company tags #LI-Hybrid)
  • Requires strong Python programming; MATLAB, R, SQL are beneficial

DOMAIN EXPERTISE

  • Life insurance product development or pricing
  • Experience studies and reserve forecasting
  • Assumption setting and risk modeling
  • Python for data analysis and production-quality code

KEY REQUIREMENTS

  • Experience in life insurance product development or pricing
  • Bachelor’s or advanced degree in a quantitative field
  • Strong Python skills for data analysis and production-quality code
  • Experience with experience studies, reserve forecasting, and risk modeling
  • Ability to analyze large, complex actuarial and financial datasets

TECH STACK

  • No tech stack specified

Job Overview

Salary
$90k - $167k
Work Type
Permanent
Full Time

Ideal Candidate Profile

Ideal for an actuarial data scientist experienced in life insurance product development who is proficient in Python and machine learning, and comfortable building models for experience studies and reserve forecasting.

Benefits

Annual BonusHealth InsuranceDental InsuranceVision InsuranceShort/Long Term DisabilityLife Insurance401(k) PlanHigh 401(k) MatchGenerous VacationHybrid 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
$90k - $167k
Work Type
Permanent
Full Time

Ideal Candidate Profile

Ideal for an actuarial data scientist experienced in life insurance product development who is proficient in Python and machine learning, and comfortable building models for experience studies and reserve forecasting.

Benefits

Annual BonusHealth InsuranceDental InsuranceVision InsuranceShort/Long Term DisabilityLife Insurance401(k) PlanHigh 401(k) MatchGenerous VacationHybrid 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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Life/Insurer/IC Level
M

Actuarial Data Scientist

Manulife•Perry County, Ohio, United States•1d ago
HybridIndividual Life ProtectionPredictive Modelling & MLExperience StudiesReserving & Valuation