Role Summary
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Consulting role combining actuarial knowledge and data engineering to modernize actuarial processes. You’ll design knowledge graphs, support data ingestion/validation, and apply statistical modelling and LLMs. Early-career position based in Chicago (or New York) for candidates with 1–3 years in insurance or financial services.
JOB DESCRIPTION SUMMARY
- Design and implement actuarial knowledge graphs and ontological models
- Support data transformation, validation, and ingestion across actuarial systems
- Apply statistical modelling and LLM applications to actuarial workflows
- Collaborate with data engineers, architects, and business stakeholders
- Early-career consultant role based in Chicago or New York
DOMAIN EXPERTISE
- Actuarial or data science experience within insurance or financial services
- Experience with structured data modelling and ontologies or knowledge graphs
- Working knowledge of Python or R for data analysis and modelling
KEY REQUIREMENTS
- 1–3 years as an actuarial associate, actuarial analyst, or data scientist
- Progress toward actuarial credentials with successful completion of 2+ exams
- Bachelor’s degree in a quantitative field (Actuarial/Math/CS/Statistics)
- Working knowledge of Python or R for data analysis and modelling
TECH STACK
- No tech stack specified