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Role Summary

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HIGHLIGHTS

Early-career actuarial data consultant in Capco’s Insurance practice (New York or Chicago). Work on designing actuarial knowledge graphs, ontologies, and data engineering solutions, applying actuarial concepts and statistical modeling. Collaborate with data engineers and stakeholders to translate actuarial workflows into scalable technical frameworks using Python or R. Ideal for candidates with 1–3 years’ insurance or financial services experience and 2+ actuarial exams passed.

JOB DESCRIPTION SUMMARY

  • Design actuarial knowledge graphs and ontological models for actuarial processes
  • Translate actuarial workflows into scalable technical frameworks with data engineers
  • Analyze insurance datasets and support modeling to improve accuracy and efficiency
  • Support data transformation, validation, and ingestion across actuarial systems
  • Consultant-level role (1–3 years) in Capco’s Insurance practice, NY or Chicago

DOMAIN EXPERTISE

  • 1–3 years in insurance or financial services
  • Progress toward actuarial credentials with 2+ exams passed
  • Experience applying actuarial concepts to data and modeling
  • Working knowledge of Python or R for data analysis
  • Experience with data transformation, validation, and ingestion

KEY REQUIREMENTS

  • 1–3 years’ experience as an actuarial associate, analyst, or data scientist
  • Successful completion of 2+ actuarial exams (e.g., P, FM, SRM)
  • Bachelor’s degree in a quantitative field required
  • Working knowledge of Python or R for data analysis and modeling
  • Experience in insurance or financial services environments

TECH STACK

  • No tech stack specified
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Role Summary

Loading...

HIGHLIGHTS

Early-career actuarial data consultant in Capco’s Insurance practice (New York or Chicago). Work on designing actuarial knowledge graphs, ontologies, and data engineering solutions, applying actuarial concepts and statistical modeling. Collaborate with data engineers and stakeholders to translate actuarial workflows into scalable technical frameworks using Python or R. Ideal for candidates with 1–3 years’ insurance or financial services experience and 2+ actuarial exams passed.

JOB DESCRIPTION SUMMARY

  • Design actuarial knowledge graphs and ontological models for actuarial processes
  • Translate actuarial workflows into scalable technical frameworks with data engineers
  • Analyze insurance datasets and support modeling to improve accuracy and efficiency
  • Support data transformation, validation, and ingestion across actuarial systems
  • Consultant-level role (1–3 years) in Capco’s Insurance practice, NY or Chicago

DOMAIN EXPERTISE

  • 1–3 years in insurance or financial services
  • Progress toward actuarial credentials with 2+ exams passed
  • Experience applying actuarial concepts to data and modeling
  • Working knowledge of Python or R for data analysis
  • Experience with data transformation, validation, and ingestion

KEY REQUIREMENTS

  • 1–3 years’ experience as an actuarial associate, analyst, or data scientist
  • Successful completion of 2+ actuarial exams (e.g., P, FM, SRM)
  • Bachelor’s degree in a quantitative field required
  • Working knowledge of Python or R for data analysis and modeling
  • Experience in insurance or financial services environments

TECH STACK

  • No tech stack specified

Job Overview

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

Ideal Candidate Profile

An associate-level actuarial student or early-career analyst with 1–3 years in insurance/financial services, 2+ exams passed, and strong Python or R skills interested in data engineering and knowledge-graph work.

Benefits

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

Ideal Candidate Profile

An associate-level actuarial student or early-career analyst with 1–3 years in insurance/financial services, 2+ exams passed, and strong Python or R skills interested in data engineering and knowledge-graph work.

Benefits

Health InsuranceDental InsuranceVision Insurance401(k) PlanTuition Reimbursement
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."

Consultancy/IC Level
C

Actuarial Data Consultant

Capco•Chicago, Illinois, United States•1d ago
Not SpecifiedPredictive Modelling & MLData EngineeringBusiness Intelligence & Reporting

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