Role Summary

HIGHLIGHTS

Senior Life actuarial data engineer supporting Lincoln's Life Actuarial Architecture & Transformation team in Radnor, PA. You will design data warehouses, build automated reporting and reserve analytics solutions, and apply modern data science techniques to improve financial reporting and actuarial processes. Hybrid role (3 days/week in office).

JOB DESCRIPTION SUMMARY

Design and implement data solutions for life actuarial reporting and reserve analytics
Develop data warehouses, automation, and proof-of-concept analytics builds
Use modern data science techniques and platforms (Python, SQL, Spark, Dataiku)
Hybrid role — 3 days per week in a Lincoln office
Senior-level role requiring 5+ years and an undergraduate quantitative degree

DOMAIN EXPERTISE

Data warehousing and analytics for actuarial use cases
Reserve analytics and actuarial reserving processes
Financial reporting data solutions for life actuarial teams
Automation of manual actuarial deliverables and reporting

KEY REQUIREMENTS

5-7+ years of relevant experience
Undergraduate degree in Actuarial Science, Math, CS, Data Science or related required
Ability to lead design and implementation of actuarial data engineering solutions
Hybrid work arrangement — 3 days/week in office

TECH STACK

Tableau
Dataiku
Alteryx
Databricks
AWS SageMaker
Azure ML Studio

Role Summary

HIGHLIGHTS

JOB DESCRIPTION SUMMARY

Design and implement data solutions for life actuarial reporting and reserve analytics
Develop data warehouses, automation, and proof-of-concept analytics builds
Use modern data science techniques and platforms (Python, SQL, Spark, Dataiku)
Hybrid role — 3 days per week in a Lincoln office
Senior-level role requiring 5+ years and an undergraduate quantitative degree

DOMAIN EXPERTISE

Data warehousing and analytics for actuarial use cases
Reserve analytics and actuarial reserving processes
Financial reporting data solutions for life actuarial teams
Automation of manual actuarial deliverables and reporting

KEY REQUIREMENTS

5-7+ years of relevant experience
Undergraduate degree in Actuarial Science, Math, CS, Data Science or related required
Ability to lead design and implementation of actuarial data engineering solutions
Hybrid work arrangement — 3 days/week in office