Fixed-Term Actuarial Support Clerk, Actuarial Innovation Team

 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 Actuarial Support Clerk supports Corporate Actuarial functions, including Valuation, the Modeling Center of Excellence (MCOE), and other enterprise stakeholders by helping improve data usage, streamline actuarial processes, and advance strategic initiatives across the organization. 

This short-term role collaborates with actuaries, data engineers, IT teams, and enterprise partners to support data processing, actuarial modeling automation, post-processing, reporting, visualization, and process improvement efforts that strengthen the company’s actuarial ecosystem. 

This role is well suited for someone interested in data analytics, process improvement, emerging technologies such as AI and automation, with a willingness to learn, take initiative, and contribute in a professional team environment. 

• →Perform data processing, validation, and transformation to support Valuation, the Modeling Center of Excellence (MCOE), and broader CFO analytics needs. 

• →Support the development and enhancement of the Actuarial Data Platform (ADP), including data pipeline improvements, infrastructure stability, and workflow optimization. 

• →Assist with identifying opportunities to improve actuarial processes, strengthen data quality, and increase operational efficiency. 

• →Support the research, development, testing, and documentation of automated actuarial modeling processes. 

• →Collaborate with actuaries, data engineers, and IT partners to convert manual or semi-automated modeling workflows into scalable automated solutions. 

• →Assist with post-processing, reconciliation, and validation of actuarial model outputs to support reporting and analysis. 

• →Support process standardization, automation, and quality control efforts to help reduce operational risk. 

• →Assist in developing dashboards, visualizations, and storytelling tools using platforms such as Tableau. 

• →Support ad hoc analytics, reporting, and process improvement initiatives across Corporate Actuarial and CFO-related functions. 

• →All other duties as assigned. 

• Currently pursuing a bachelor’s degree in Actuarial Science, Mathematics, Statistics, Computer Science, Data Science, or a related field. 

• Strong analytical thinking and problem-solving skills. 

• Demonstrated intellectual curiosity and willingness to learn. 

• Demonstrated initiative and ability to contribute effectively in a professional team environment. 

• Ability to work 24-40 hours onsite weekly for a 3-month fixed term

• Experience working with Microsoft Excel, SQL, Python, or other analytical tools. 

• Previous internship, project experience, or coursework in insurance, risk management, actuarial science, or data analytics. 

At National Life Group, we view AI as an enabler of human potential. We use AI to help us work smarter, serve more clients, and keep our promises, while remaining a relationship-driven business where our people are our greatest strength. 

• Leverage approved AI tools, where appropriate, to improve the efficiency, quality, and impact of their work. 

• Stay curious and open to new AI-enabled ways of working. 

• Exercise sound judgment by reviewing and validating AI-generated content. 

• Maintain accountability for the accuracy, quality, fairness, and integrity of work products by adhering to National Life's AI guiding principles. 

• Use AI responsibly and in accordance with company policies related to confidentiality, data privacy, security, compliance, retention, and intellectual property. 

• Additional Expectations for AI-Forward Roles 

• Identify practical opportunities to apply AI to improve workflows, productivity, analysis, and business outcomes. 

• Create effective prompts, workflows, controls, and human-in-the-loop (HITL) review processes that support responsible AI use. 

• Critically evaluate AI-generated outputs for accuracy, quality, bias, fairness, confidentiality, compliance, security, and business relevance. 

• Partner appropriately with Legal, Compliance, Risk, Security, Data/Technology, and business stakeholders to move AI ideas from experimentation to responsible adoption. 

• Help model responsible, human-centered AI adoption across the organization. 

Service Focus - Demonstrates a client centric focus for satisfying one’s external and/or internal customers; establishes and maintains effective relationships with customers and gains their trust and respect. 

Decision Making - Makes sense of complex information, critically evaluates, and creates solutions. 

Results Oriented - Sets performance and personal goals; Driven to meet or exceed goals and objectives. 

Plans and Aligns - Plans and prioritizes work to meet commitments aligned with organizational goals; Aligns people and skills to tasks and assignments; Evaluates results of work. 

Demonstrates Learning Agility - Enhances skills and knowledge through continuous learning; Focuses on personal results by establishing stretch goals; Seeks feedback and changes accordingly. 

Establishes Relationships - Builds partnerships with others to instill trust, collaborate, and meet shared objectives. 

Communicates Effectively - Actively listens, conveys messages to meet different audience needs, and remains open to new ideas and opinions. 

Fosters Diversity - Values diversity and difference in thought, experience, and perspective; Promotes an environment that embraces diversity, equity, and inclusion; Supports equal and fair treatment for all