Actuarial Consultant – Dataset & Assessment Design
Correlation One
contract
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteJob Level
Mid-LevelSenior
Tech Stack
Python
About the role
- Design and generate a synthetic actuarial dataset (e.g., mortality trends, product attributes, scenario inputs) suitable for a student competition
- Ensure data realism while intentionally simplifying complexity for an undergraduate audience
- Validate dataset logic, distributions, and relationships
- Produce supporting documentation, including a data dictionary and scenario descriptions
- Collaborate with Correlation One to define evaluation criteria and sample solution guidance
- Provide input on integrity checkpoints and GenAI-use guardrails to ensure fair and meaningful assessment
- Help craft the final competition problem statement
- Incorporate feedback from Correlation One and Pacific Life stakeholders efficiently
Requirements
- Background in actuarial science, insurance, or closely related analytical work
- Experience creating, curating, or simulating datasets for actuarial, insurance, or analytical use cases
- Familiarity with life insurance products and basic pricing concepts
- Comfort working in Excel; familiarity with Python or R is a plus but not required
- Experience using GenAI tools (e.g., Copilot, ChatGPT) in a professional context with appropriate validation
- Strong written communication skills and ability to explain actuarial concepts at an undergraduate level.
Benefits
- Equal Opportunity Employer
- Work environment free of discrimination and harassment
- Reasonable accommodations for persons with disabilities
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data generationdata validationdataset simulationdata documentationactuarial analysisdata curationpricing conceptsExcelPythonR
Soft skills
written communicationcollaborationfeedback incorporationexplanation of concepts