Role Summary

HIGHLIGHTS

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

Role Summary

HIGHLIGHTS

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)