Associate Actuary, Management

Position: Associate Actuary, Life Experience Management
Alternate Locations:
Radnor, PA (Pennsylvania);
Charlotte, NC (North Carolina);
Fort Wayne, IN (Indiana);
Greensboro, NC (North Carolina);
Hartford, CT (Connecticut);
Omaha, NE (Nebraska) Work Arrangement:

Hybrid :
Employee will work 3 days a week in a Lincoln office

Relocation assistance:  is not available for this opportunity.

Requisition #: 76582

The Role at a Glance The Associate Actuary, Life Experience Management, will provide support for experience studies initiatives with a focus on process improvements and providing experience insights. The role will contribute to data processing, assumption development, and reporting to support pricing, valuation, and risk management functions. What you'll be doing

Support Life Experience Studies data needs, including collaboration with IT, Valuation, and other teams as necessary Support development of Policyholder Behavior and/or Morbidity experience assumptions as needed Collaborate on the enhancement of our controls process for various data flows Collaborate with teammates to share knowledge, institute best practices, and develop shared insights. Document methodologies, automate recurring processes, and improve workflow efficiency Collaborate with business partners to ensure data integrity What we’re looking for Education

Undergraduate Degree; with a concentration related to Actuarial Science ASA preferred Required Experience Minimum 3 years of actuarial or data analytics experience Analytical skills: ability to think critically, identify, and solve potential challenges independently Ability to synthesize large volumes of data to extract insights and identify data anomalies Hands on SQL, Python, or any other programming languages  Ability to bring innovative thinking to improve current processes Priority setting, time management and organizational skills Excellent attention to detail and problem-solving skills Familiarity with data visualization tools (ex.,

Tableau, Power BI) Nice to Have Experience Life product knowledge, general insurance/business knowledge, and experience studies and/or data management experience Proficiency in Python (pandas, Num Py, Dask) for large-scale data processing Familiarity with version control tools (Git, Git Lab, Git Hub) Exposure to predictive analytics  Final date to receive applications

Applications for this position will be accepted through November 5th, 2026 subject to earlier closure due to applicant volume.

What’s it like to work here?

At Lincoln Financial, we love what we do. We make meaningful contributions each and every day to empower our customers to take charge of their lives. Working alongside dedicated and talented colleagues, we build fulfilling careers and stronger communities through a company that values our unique perspectives, insights and contributions and invests in programs that empower each of us to take charge of our own future.

What’s in it for you:

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

The pay range for this position is $106,875 - $171,000 with anticipated pay for new hires between the minimum and midpoint of the range and could vary above and below the listed range as permitted by applicable law. Pay is based on non-discriminatory factors including but not limited to work experience, education, location, licensure requirements, proficiency and qualifications required for the role.

The base pay…