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Role Summary

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HIGHLIGHTS

Early-career actuarial data consultant role in Capco's Insurance practice based in New York. You will apply actuarial concepts, statistical modeling, and Python/R skills to design knowledge graphs, ontologies, and data pipelines that support actuarial forecasting and analytics. Consultant-level role (1–3 years experience) focused on data-driven transformation and client-facing consulting engagements in insurance and financial services.

JOB DESCRIPTION SUMMARY

  • Consulting role in Capco's Insurance practice based in New York (also CHI option)
  • Design ontological models and knowledge graphs for actuarial processes
  • Work with data transformation, validation, ingestion, and LLM applications
  • Use Python or R for data analysis and statistical modelling
  • Early-career consultant with 1–3 years' relevant experience

DOMAIN EXPERTISE

  • Actuarial associate or analyst experience
  • Data science experience in insurance or financial services
  • Progress toward actuarial credentials with 2+ exams
  • Experience using Python or R for data analysis

KEY REQUIREMENTS

  • 1–3 years actuarial, actuarial analyst, or data scientist experience
  • Progress toward actuarial credentials with successful completion of 2+ exams
  • Bachelor's degree in a quantitative field required
  • Working knowledge of Python or R for data analysis

TECH STACK

  • No tech stack specified
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Role Summary

Loading...

HIGHLIGHTS

Early-career actuarial data consultant role in Capco's Insurance practice based in New York. You will apply actuarial concepts, statistical modeling, and Python/R skills to design knowledge graphs, ontologies, and data pipelines that support actuarial forecasting and analytics. Consultant-level role (1–3 years experience) focused on data-driven transformation and client-facing consulting engagements in insurance and financial services.

JOB DESCRIPTION SUMMARY

  • Consulting role in Capco's Insurance practice based in New York (also CHI option)
  • Design ontological models and knowledge graphs for actuarial processes
  • Work with data transformation, validation, ingestion, and LLM applications
  • Use Python or R for data analysis and statistical modelling
  • Early-career consultant with 1–3 years' relevant experience

DOMAIN EXPERTISE

  • Actuarial associate or analyst experience
  • Data science experience in insurance or financial services
  • Progress toward actuarial credentials with 2+ exams
  • Experience using Python or R for data analysis

KEY REQUIREMENTS

  • 1–3 years actuarial, actuarial analyst, or data scientist experience
  • Progress toward actuarial credentials with successful completion of 2+ exams
  • Bachelor's degree in a quantitative field required
  • Working knowledge of Python or R for data analysis

TECH STACK

  • No tech stack specified

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Job Overview

Salary
$98k - $112k
Years of Experience
1+ Years
Work Type
Permanent
Full Time

Ideal Candidate Profile

Ideal for an Associate-level actuarial/data scientist with 1–3 years in insurance or financial services, 2+ actuarial exams passed, and hands-on Python or R skills for building data models and ontologies.

Student

Benefits

Health InsuranceDental InsuranceVision Insurance401(k) PlanTuition Reimbursement
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
$98k - $112k
Years of Experience
1+ Years
Work Type
Permanent
Full Time

Ideal Candidate Profile

Ideal for an Associate-level actuarial/data scientist with 1–3 years in insurance or financial services, 2+ actuarial exams passed, and hands-on Python or R skills for building data models and ontologies.

Student

Benefits

Health InsuranceDental InsuranceVision Insurance401(k) PlanTuition Reimbursement
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."