Actuarial Data Engineer Analyst
About The Position
As an Actuarial Data Engineer Analyst, you will lead the design and implementation of new technology solutions of the Life Actuarial Architecture & Transformation team. You will develop data & analytics solutions using cutting-edge tools to improve data warehousing, financial reporting, reserve analytics, and various automation efforts. In addition, you will provide a broad range of experiences and responsibilities, allowing for growth.What you'll be doingTechnology partner Partner with stakeholders to understand data & analytics needs Translate business requests into technical requirements Upskill team members with emerging technology tools Solutions architect 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 Automation Develop automated solutions to streamline processes Help transition manual deliverables to automated reports Increase transparency, efficiency, and governance of processes Documentation Maintain robust process and production documentation Document changes and follow change management procedures What we’re looking forMust-haves:
Requirements
- 3-5 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
Nice To Haves
- 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
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
Benefits
- Clearly defined career tracks and job levels, along with associated behaviors for each of Lincoln's core values and leadership attributes
- Leadership development and virtual training opportunities
- PTO/parental leave
- Competitive 401K and employee benefits
- Free financial counseling, health coaching and employee assistance program
- Tuition assistance program
- Work arrangements that work for you
- Effective productivity/technology tools and training
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees
