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Role Summary

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HIGHLIGHTS

Executive actuarial leadership role focused on loyalty and behavioural science at an insurance company in Parktown, NC. Lead integration of behavioural insights into pricing, reserving, experience studies and predictive modelling to improve customer lifetime value and portfolio profitability. Requires an Associate or Fellow actuarial qualification and extensive leadership experience in insurance analytics and ML.

JOB DESCRIPTION SUMMARY

  • Lead enterprise loyalty and behavioural science strategy within the Actuarial division
  • Integrate behavioural assumptions into pricing, reserving and experience studies
  • Drive ML-driven predictive modelling, GLMs and survival analysis for customer insights
  • Commercialise actuarial solutions and influence C-suite, Board and regulators
  • Executive role based in Parktown, North Carolina with 10–15 years insurance experience

DOMAIN EXPERTISE

  • Progressive actuarial experience in insurance
  • Leadership experience in actuarial teams
  • Pricing, reserving and experience studies
  • Managing loyalty programmes in financial services
  • Advanced statistical modelling and machine learning

KEY REQUIREMENTS

  • Qualified Actuary (Associate or Fellow) from a recognised actuarial body
  • 10–15 years progressive insurance actuarial experience with 7+ years leadership
  • Deep expertise in pricing, reserving, predictive modelling and experience studies
  • Proven track record managing or rolling out loyalty programs in financial services
  • Advanced knowledge of statistical modelling, machine learning and data analytics

TECH STACK

  • No tech stack specified
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Role Summary

Loading...

HIGHLIGHTS

Executive actuarial leadership role focused on loyalty and behavioural science at an insurance company in Parktown, NC. Lead integration of behavioural insights into pricing, reserving, experience studies and predictive modelling to improve customer lifetime value and portfolio profitability. Requires an Associate or Fellow actuarial qualification and extensive leadership experience in insurance analytics and ML.

JOB DESCRIPTION SUMMARY

  • Lead enterprise loyalty and behavioural science strategy within the Actuarial division
  • Integrate behavioural assumptions into pricing, reserving and experience studies
  • Drive ML-driven predictive modelling, GLMs and survival analysis for customer insights
  • Commercialise actuarial solutions and influence C-suite, Board and regulators
  • Executive role based in Parktown, North Carolina with 10–15 years insurance experience

DOMAIN EXPERTISE

  • Progressive actuarial experience in insurance
  • Leadership experience in actuarial teams
  • Pricing, reserving and experience studies
  • Managing loyalty programmes in financial services
  • Advanced statistical modelling and machine learning

KEY REQUIREMENTS

  • Qualified Actuary (Associate or Fellow) from a recognised actuarial body
  • 10–15 years progressive insurance actuarial experience with 7+ years leadership
  • Deep expertise in pricing, reserving, predictive modelling and experience studies
  • Proven track record managing or rolling out loyalty programs in financial services
  • Advanced knowledge of statistical modelling, machine learning and data analytics

TECH STACK

  • No tech stack specified
Insurer/VP Level
Rand Mutual - RMA

Executive Actuary - Loyalty & Behavioural Science

Rand Mutual - RMA•Parktown, North Carolina, United States•1h ago
Multi LinePredictive Modelling & MLPricing & RatingReserving & Valuation

Job Overview

Salary
Salary not specified
Years of Experience
10+ Years
Work Type
Permanent
Full Time

Ideal Candidate Profile

An Executive-level qualified actuary with 10+ years in insurance and 7+ years leading teams, experienced in pricing, reserving and ML-driven predictive analytics, who can translate behavioural science into commercial actuarial solutions.

ASAFSAOther

Benefits

Study SupportMentorship Program
Fresh Role
Premium Window
0d
Posted Today

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
Salary not specified
Years of Experience
10+ Years
Work Type
Permanent
Full Time

Ideal Candidate Profile

An Executive-level qualified actuary with 10+ years in insurance and 7+ years leading teams, experienced in pricing, reserving and ML-driven predictive analytics, who can translate behavioural science into commercial actuarial solutions.

ASAFSAOther

Benefits

Study SupportMentorship Program
Fresh Role
Premium Window
0d
Posted Today

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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