Actuarial Consultant – Dataset & Assessment Design
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Job Description
Actuarial Consultant designing synthetic datasets for virtual competitions partnered with Pacific Life. Focused on simplifying real-world actuarial scenarios for undergraduate students.
Responsibilities:
- 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
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