Actuary - Modeling, Fixed Term

National Life Insurance Company•Montpelier, VT

1d•$138,750 - $203,500

About The Position

National Life Group, a rapidly growing insurance company founded in 1848, is seeking an Actuary - Modeling for a fixed-term position. The company is committed to fulfilling its promises, providing stability, and offering peace of mind to families. Their mission extends beyond insurance and annuities, encompassing charitable contributions, paid volunteer time, sustainable workplaces, and support for local nonprofits. They foster a collaborative environment that encourages growth and living by their values: Do good. Be good. Make good. The Modeling Center of Excellence (MCOE) is responsible for delivering timely, accurate, and well-understood modeled results for various initiatives including ALM, Asset Adequacy Testing, ORSA, Risk Based Capital, and VNB/EV. This role is crucial for maintaining a disciplined production process, a sound model development life cycle, consistent assumptions and methodology, strong controls, and the ability to translate complex output into actionable business insights. The Actuary – Modeling will report to the Head of MCOE and function as a senior individual contributor, ensuring the reliable operation of the modeling engine, making results understandable to stakeholders, enhancing team capabilities, and providing an independent assessment of the model development life cycle for continuous improvement.

Requirements

15+ years of progressive actuarial experience, with 10+ years specifically in an actuarial modeling–centric role
Deep understanding of modeling frameworks and concepts including ORSA, CFT, ALM, EV/VNB, RBC, and VM20, and the impacts of reinsurance on each
Experience owning periodic production and reporting cycles and operating within a model risk and control framework
Strong communication skills, with a proven ability to translate complex technical results into clear, plain-English insight for both technical and non-technical stakeholders
A track record of mentoring or coaching actuaries on technical concepts, interpretation of results, and process improvement
Experience with open actuarial projection platforms (MG-ALFA preferred)
Familiarity with reinsurance treaty structures and their modeling, including coinsurance, modco, funds-withheld, and YRT
Working knowledge of GAAP and Statutory regulations for Life and Annuity products, with a preference for indexed products and reinsurance concepts
Fellow or Associate of the Society of Actuaries (FSA or ASA)

Nice To Haves

Preference for indexed products and reinsurance concepts

Responsibilities

Own the production run for assigned areas end to end, delivering accurate, reconciled results on schedule each reporting cycle.
Manage model inputs, assumptions, and run execution so the modeling calendar is met without surprises.
Dive deep into modeled output to validate results, explain period-over-period movements, and confirm reasonableness before results are finalized.
Translate complex results into clear, plain-English insight for finance, risk, capital management, and senior leadership, tailoring the message to each audience.
Review the current model development life cycle and provide an informed, independent perspective on its current state, reasonableness, and fitness for purpose.
Identify and implement improvements to processes, controls, automation, and documentation that make production more reliable and less manual.
Mentor and coach actuaries on the team, building their ability to understand the models, interpret results, and explain complex concepts in simple terms.
Strengthen documentation, standards, and cross-training to capture knowledge and reduce key-person risk.
Operate within the MCOE’s model risk and control framework, supporting audit and governance requirements and keeping methods and assumptions consistent across lines of business.
Partner with data, technology, and downstream reporting teams to keep the operating model running smoothly and to support special projects and methodology enhancements.