Role Summary

HIGHLIGHTS

Actuarial Data Engineer (Associate) on Lincoln Financial’s Actuarial Architecture & Transformation team. You’ll design and implement data pipelines, automate reporting, and apply modern data science techniques to support reserve analytics and financial reporting. Hybrid role based in Charlotte, NC with alternate locations and 3 days/week in office.

JOB DESCRIPTION SUMMARY

Design and implement data & analytics solutions to support actuarial reporting
Build automated pipelines and transition manual deliverables to automated reports
Apply modern data science techniques to improve model accuracy and efficiency
Work with Dataiku, Tableau, AWS, Spark and code in SQL, Python/R, SAS, Hive
Hybrid role – 3 days/week in a Lincoln office (Charlotte and alternate locations)

DOMAIN EXPERTISE

Modern data and analytics platforms (Dataiku, Tableau, AWS, Spark)
Coding in SQL, Hive, Python or R
SAS and VBA experience
Data warehousing, reporting and reserve analytics

KEY REQUIREMENTS

Undergraduate degree in actuary, math, statistics, CS, data science, or similar
3+ years of relevant data/analytics experience (3–5+ years preferred)
Hands-on experience with Dataiku, Tableau, AWS, or Spark
Strong coding skills in SQL and Python or R; familiarity with SAS/VBA/Hive

TECH STACK

Tableau
Other_BI_Tool

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Role Summary

HIGHLIGHTS

JOB DESCRIPTION SUMMARY

Design and implement data & analytics solutions to support actuarial reporting
Build automated pipelines and transition manual deliverables to automated reports
Apply modern data science techniques to improve model accuracy and efficiency
Work with Dataiku, Tableau, AWS, Spark and code in SQL, Python/R, SAS, Hive
Hybrid role – 3 days/week in a Lincoln office (Charlotte and alternate locations)

DOMAIN EXPERTISE

Modern data and analytics platforms (Dataiku, Tableau, AWS, Spark)
Coding in SQL, Hive, Python or R
SAS and VBA experience
Data warehousing, reporting and reserve analytics

KEY REQUIREMENTS

Undergraduate degree in actuary, math, statistics, CS, data science, or similar
3+ years of relevant data/analytics experience (3–5+ years preferred)
Hands-on experience with Dataiku, Tableau, AWS, or Spark
Strong coding skills in SQL and Python or R; familiarity with SAS/VBA/Hive

TECH STACK

Tableau
Other_BI_Tool

Role Summary

HIGHLIGHTS

JOB DESCRIPTION SUMMARY

Design and implement data & analytics solutions to support actuarial reporting
Build automated pipelines and transition manual deliverables to automated reports
Apply modern data science techniques to improve model accuracy and efficiency
Work with Dataiku, Tableau, AWS, Spark and code in SQL, Python/R, SAS, Hive
Hybrid role – 3 days/week in a Lincoln office (Charlotte and alternate locations)