Role Summary

HIGHLIGHTS

Remote actuarial consulting role to design a synthetic life-insurance dataset and competition materials for a student actuarial competition. You will simulate mortality trends, validate data logic, and produce documentation and evaluation criteria. Short-term engagement working with Correlation One and Pacific Life, remote within US Eastern Time zones.

JOB DESCRIPTION SUMMARY

Design and generate a synthetic actuarial dataset (mortality, product attributes)
Validate data distributions and relationships and produce a data dictionary
Define evaluation criteria and sample solution guidance for a student competition
Provide GenAI-use guardrails and integrity checkpoints for assessments
Fully remote contract open to candidates compatible with US Eastern Time

DOMAIN EXPERTISE

simulating actuarial datasets
familiarity with life insurance products and basic pricing concepts
using GenAI tools professionally with validation practices
experience creating data dictionaries and documentation
ability to explain actuarial concepts to undergraduate audiences

KEY REQUIREMENTS

Background in actuarial science, insurance, or related analytical work
Experience creating, curating, or simulating actuarial or insurance datasets
Familiarity with life insurance products and basic pricing concepts
Comfort working in Excel; Python or R experience is a plus
Ability to communicate actuarial concepts at an undergraduate level

TECH STACK

Excel

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Role Summary

HIGHLIGHTS

JOB DESCRIPTION SUMMARY

Design and generate a synthetic actuarial dataset (mortality, product attributes)
Validate data distributions and relationships and produce a data dictionary
Define evaluation criteria and sample solution guidance for a student competition
Provide GenAI-use guardrails and integrity checkpoints for assessments
Fully remote contract open to candidates compatible with US Eastern Time

DOMAIN EXPERTISE

simulating actuarial datasets
familiarity with life insurance products and basic pricing concepts
using GenAI tools professionally with validation practices
experience creating data dictionaries and documentation
ability to explain actuarial concepts to undergraduate audiences

KEY REQUIREMENTS

Background in actuarial science, insurance, or related analytical work
Experience creating, curating, or simulating actuarial or insurance datasets
Familiarity with life insurance products and basic pricing concepts
Comfort working in Excel; Python or R experience is a plus
Ability to communicate actuarial concepts at an undergraduate level

TECH STACK

Excel

Role Summary

HIGHLIGHTS

JOB DESCRIPTION SUMMARY

Design and generate a synthetic actuarial dataset (mortality, product attributes)
Validate data distributions and relationships and produce a data dictionary
Define evaluation criteria and sample solution guidance for a student competition
Provide GenAI-use guardrails and integrity checkpoints for assessments
Fully remote contract open to candidates compatible with US Eastern Time