Role Summary

Please note that we do not offer visa sponsorship for this position.

The Actuarial Innovation team is a forward-looking group focused on advancing actuarial capabilities through modern data, analytics, automation, and technology solutions. The Associate Actuary will play a key role in supporting Corporate Actuarial functions, including Valuation and the Modeling Center of Excellence (MCoE), as well as Finance, Risk, Product Development, IT, and other enterprise stakeholders.

The incumbent will help adapt and enhance actuarial models, processes, and data platforms used to project and analyze reserves, cash flows, financial results, and strategic business initiatives. This position is well-suited for an actuarial professional who combines strong technical actuarial knowledge with data-driven problem solving, curiosity about emerging technologies, and the ability to collaborate across functions to deliver practical, scalable solutions.

This position currently offers an onsite work schedule, with the expectation that you will be in the office four (4) days per week during onsite core days. Our current onsite core days are Monday, Tuesday, Wednesday, and Thursday. The work schedule type and core days are subject to change with advance notification and manager discretion.

Essential Duties and Responsibilities

• Advanced Actuarial Analytics and Financial Analysis
• Develop and apply advanced actuarial analytics to support strategic initiatives, including targeted financial forecasting and analysis.
• Analyze actuarial, financial, and operational results to identify drivers of performance, emerging trends, risks, and opportunities.
• Translate complex actuarial and financial results into clear insights, recommendations, and executive-ready communications.
• Collaborate with Valuation, MCoE, Finance, Risk, Product Development, and other stakeholders to design analytical approaches that address business needs.
• Data Visualization and Decision Support
• Develop dashboards, reports, and visual analytics to improve transparency into actuarial results, financial trends, model outputs, and key business metrics.
• Convert complex data and model outputs into intuitive visualizations that support senior management decision-making.
• AI Innovation and Technology Enablement
• Identify opportunities to apply artificial intelligence, machine learning, automation, and modern technology solutions to actuarial and financial processes.
• Support the design, testing, implementation, and adoption of AI-enabled tools and analytical solutions.
• Help evaluate emerging tools and techniques that can improve actuarial modeling, financial analysis, process efficiency, and decision support.
• Transformation and Process Improvement
• Support transformation initiatives involving actuarial models, data platforms, systems, processes, and controls.
• Contribute to efforts that modernize valuation, forecasting, reporting, and financial analysis processes.
• Collaborate with cross-functional teams to ensure solutions are aligned with business priorities, timelines, and enterprise standards.

Minimum Qualifications

• Fellow of the Society of Actuaries (FSA).
• Bachelor's degree in Actuarial Science, Mathematics, Statistics, Finance, Data Science, Computer Science, Economics, or a related quantitative field.
• Minimum 6 years of actuarial valuation and/or modeling experience.
• In-depth understanding of life insurance and/or annuity products and features.
• Strong actuarial knowledge, including experience with valuation, financial reporting, forecasting, or modeling.
• Strong analytical and problem-solving skills, with the ability to interpret complex results and develop practical recommendations.
• Strong collaboration skills and ability to work across functions, including actuarial, finance, risk, product, and technology teams.
• Proficiency in actuarial modeling software (e.g., PolySystems, MG-ALFA, GGY-AXIS, etc.)
• Proficiency in database software/systems (e.g., SQL, DataBricks, Microsoft Access, etc.)
• Proven ability to communicate technical concepts clearly to both actuarial and non-actuarial stakeholders.

Preferred Qualifications

• Experience with visualization tools such as Power BI, Tableau, or similar platforms.
• Indexed product experience preferred
• Exposure to AI, machine learning, automation, generative AI tools, or advanced analytics applications.
• Experience supporting transformation, process improvement, model modernization, or technology implementation initiatives.
• Strong documentation, controls, governance, and testing discipline.

Benefits

• Your benefits start day one and are flexible and customizable to your and your family's specific needs. Check out the BENEFITS of a Career at National Life!

Base Pay Range. The base pay range for this position is the range National Life reasonably and in good faith expects to pay for the position taking into account the wide variety of factors, including: prior experience and job-related knowledge; education, training and certificates; current business needs; and market factors. The final salary or hourly wages offered may be outside of this range based on other reasons and individual circumstances.

Additional Compensation and Benefits. The total compensation package for this position may also include a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as vacation, sick time, and parental leave), dependent on the position offered. The successful candidate may also be eligible to participate in National Life's discretionary annual incentive programs, subject to the rules governing such programs. If hired, the employee will be in an "at-will position" and National Life reserves the right to modify base salary (as well as any other discretionary payment or compensation or benefit program) at any time, including for reasons related to individual performance, company or individual department/team performance, and market factors.

National Life is accepting applications for this role on an ongoing basis and the role remains open until filled.

Salary Pay Range

$121,875-$178,750 USD