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Role Summary

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HIGHLIGHTS

Director-level P&C actuarial modeling role in New York. You will create and lead a new actuarial modeling team, build and review advanced predictive and AI models, and ensure models comply with Actuarial Standards of Practice and New York State AI policies. This senior role requires ACAS or FCAS and significant people leadership experience.

JOB DESCRIPTION SUMMARY

  • Create, staff and lead a new actuarial Modeling team
  • Develop advanced predictive, ML and AI-based actuarial models
  • Oversee review, enhancement and implementation of actuarial models
  • Ensure models follow Actuarial Standards of Practice and NY AI policies
  • Director-level role requiring ACAS or FCAS and 10+ years actuarial experience

DOMAIN EXPERTISE

  • Predictive analytics and AI model development
  • Managing and extracting insights from raw structured and unstructured data
  • Advanced statistical and machine learning methods
  • Actuarial team management and leadership experience

KEY REQUIREMENTS

  • Associate or Fellow of the Casualty Actuarial Society (ACAS or FCAS)
  • Minimum 10 years of actuarial experience with 2 years post-designation
  • Proven experience managing and directing an actuarial team
  • Experience building predictive analytics, machine learning and AI models
  • Ability to work with raw structured and unstructured data

TECH STACK

  • No tech stack specified
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Role Summary

Loading...

HIGHLIGHTS

Director-level P&C actuarial modeling role in New York. You will create and lead a new actuarial modeling team, build and review advanced predictive and AI models, and ensure models comply with Actuarial Standards of Practice and New York State AI policies. This senior role requires ACAS or FCAS and significant people leadership experience.

JOB DESCRIPTION SUMMARY

  • Create, staff and lead a new actuarial Modeling team
  • Develop advanced predictive, ML and AI-based actuarial models
  • Oversee review, enhancement and implementation of actuarial models
  • Ensure models follow Actuarial Standards of Practice and NY AI policies
  • Director-level role requiring ACAS or FCAS and 10+ years actuarial experience

DOMAIN EXPERTISE

  • Predictive analytics and AI model development
  • Managing and extracting insights from raw structured and unstructured data
  • Advanced statistical and machine learning methods
  • Actuarial team management and leadership experience

KEY REQUIREMENTS

  • Associate or Fellow of the Casualty Actuarial Society (ACAS or FCAS)
  • Minimum 10 years of actuarial experience with 2 years post-designation
  • Proven experience managing and directing an actuarial team
  • Experience building predictive analytics, machine learning and AI models
  • Ability to work with raw structured and unstructured data

TECH STACK

  • No tech stack specified

Job Overview

Salary
$183k - $203k
Years of Experience
10+ Years
Work Type
Permanent
Full Time

Ideal Candidate Profile

Experienced Director-level ACAS/FCAS with 10+ years in P&C actuarial roles who has led teams and built predictive/ML models and can translate technical outputs into business decisions.

ACASFCAS

Benefits

Health InsuranceDental InsuranceVision Insurance401(k) PlanGenerous VacationPaid Sick LeaveHybrid WorkFlexible Hours
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
$183k - $203k
Years of Experience
10+ Years
Work Type
Permanent
Full Time

Ideal Candidate Profile

Experienced Director-level ACAS/FCAS with 10+ years in P&C actuarial roles who has led teams and built predictive/ML models and can translate technical outputs into business decisions.

ACASFCAS

Benefits

Health InsuranceDental InsuranceVision Insurance401(k) PlanGenerous VacationPaid Sick LeaveHybrid WorkFlexible Hours
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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