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Role Summary

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HIGHLIGHTS

Consulting role combining actuarial knowledge and data engineering to modernize actuarial processes. You’ll design knowledge graphs, support data ingestion/validation, and apply statistical modelling and LLMs. Early-career position based in Chicago (or New York) for candidates with 1–3 years in insurance or financial services.

JOB DESCRIPTION SUMMARY

  • Design and implement actuarial knowledge graphs and ontological models
  • Support data transformation, validation, and ingestion across actuarial systems
  • Apply statistical modelling and LLM applications to actuarial workflows
  • Collaborate with data engineers, architects, and business stakeholders
  • Early-career consultant role based in Chicago or New York

DOMAIN EXPERTISE

  • Actuarial or data science experience within insurance or financial services
  • Experience with structured data modelling and ontologies or knowledge graphs
  • Working knowledge of Python or R for data analysis and modelling

KEY REQUIREMENTS

  • 1–3 years as an actuarial associate, actuarial analyst, or data scientist
  • Progress toward actuarial credentials with successful completion of 2+ exams
  • Bachelor’s degree in a quantitative field (Actuarial/Math/CS/Statistics)
  • Working knowledge of Python or R for data analysis and modelling

TECH STACK

  • No tech stack specified
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Role Summary

Loading...

HIGHLIGHTS

Consulting role combining actuarial knowledge and data engineering to modernize actuarial processes. You’ll design knowledge graphs, support data ingestion/validation, and apply statistical modelling and LLMs. Early-career position based in Chicago (or New York) for candidates with 1–3 years in insurance or financial services.

JOB DESCRIPTION SUMMARY

  • Design and implement actuarial knowledge graphs and ontological models
  • Support data transformation, validation, and ingestion across actuarial systems
  • Apply statistical modelling and LLM applications to actuarial workflows
  • Collaborate with data engineers, architects, and business stakeholders
  • Early-career consultant role based in Chicago or New York

DOMAIN EXPERTISE

  • Actuarial or data science experience within insurance or financial services
  • Experience with structured data modelling and ontologies or knowledge graphs
  • Working knowledge of Python or R for data analysis and modelling

KEY REQUIREMENTS

  • 1–3 years as an actuarial associate, actuarial analyst, or data scientist
  • Progress toward actuarial credentials with successful completion of 2+ exams
  • Bachelor’s degree in a quantitative field (Actuarial/Math/CS/Statistics)
  • Working knowledge of Python or R for data analysis and modelling

TECH STACK

  • No tech stack specified

Job Overview

Salary
$94k - $107k
Years of Experience
1+ Years
Work Type
Permanent
Full Time

Ideal Candidate Profile

Early-career actuarial associate or data scientist with 1–3 years in insurance/financial services, 2+ exams passed, strong Python/R skills, and interest in data engineering and ontologies.

Benefits

Health InsuranceDental InsuranceVision Insurance401(k) PlanTuition ReimbursementStudy Support
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
$94k - $107k
Years of Experience
1+ Years
Work Type
Permanent
Full Time

Ideal Candidate Profile

Early-career actuarial associate or data scientist with 1–3 years in insurance/financial services, 2+ exams passed, strong Python/R skills, and interest in data engineering and ontologies.

Benefits

Health InsuranceDental InsuranceVision Insurance401(k) PlanTuition ReimbursementStudy Support
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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