Lincoln Financial is a company that helps people confidently plan for their financial future. As a Sr. Analyst, Actuarial Data Engineer, you will lead the design and implementation of technology solutions for the Life Actuarial Architecture & Transformation team, focusing on developing data and analytics solutions to enhance financial reporting and automate processes.
Responsibilities:
- Partner with stakeholders to understand data & analytics needs
- Translate business requests into technical requirements
- Upskill team members with emerging technology tools
- Design solutions to enhance reporting and analytic capabilities
- Centralize and standardize data from various sources
- Demonstrate new capabilities of the solution with proof-of-concept builds
- Leverage modern data science techniques to improve accuracy and efficiency of models
- Develop automated solutions to streamline processes
- Help transition manual deliverables to automated reports
- Increase transparency, efficiency, and governance of processes
- Maintain robust process and production documentation
- Document changes and follow change management procedures
Requirements:
- 5-7+ Years' experience that aligns with the specific responsibilities for this position
- Undergraduate degree in Actuarial Science, Applied Mathematics, Statistics, Economics, Computer Science, Data Science or Data Analytics or other quantitative major
- Experience with Modern Data & Analytics Technology such as Tableau, AWS, Spark Coding with SQL, Hive, Python/R, SAS, VBA, etc
- Experience with Dataiku or comparable data/ML platforms (Alteryx, Databricks, Azure ML Studio, AWS SageMaker, or Google Cloud Vertex AI)
- FSA designation or ASA designation with additional years of actuarial experience
- Demonstrates strong interpersonal skills with a collaborative style
- Curiosity and demonstrated capability to quickly learn new concepts
- Self-starter, Innovative, Problem Solver