Actuarial Data Engineer Analyst
Role Summary
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Life actuarial data engineering role supporting reserve analytics and financial reporting. You will design data architectures, build automated data pipelines and analytic solutions for life & annuity reserving. Associate-level role based in Radnor, PA with a hybrid schedule (3 days/week in office).
JOB DESCRIPTION SUMMARY
- Design and implement data and analytics solutions for life actuarial reserving
- Build data warehousing and automated reporting pipelines
- Partner with stakeholders to translate business needs into technical requirements
- Hybrid role — 3 days per week in a Lincoln office (Radnor, PA)
- Ideal for candidates with 3–5 years of data/analytics experience and a quantitative degree
DOMAIN EXPERTISE
- Reserve analytics
- Financial reporting data solutions
- Data warehousing and ETL
- Automation of actuarial reports
KEY REQUIREMENTS
- 3–5 years of relevant experience
- Undergraduate degree in Actuarial Science, Math, Statistics, CS or related
- Hands-on experience with SQL and Python/R (or similar languages)
- Experience with modern data & analytics platforms (Tableau, Databricks, Alteryx, etc.)
- Must be able to work hybrid (3 days/week in office)
TECH STACK
- Tableau
- Alteryx
- Databricks
- SAS_Enterprise_Guide
- Other_BI_Tool
