Analyst, Investment Analytics

Company Overview

Come join one of America’s fastest-growing insurance companies. Since 1848, National Life Group has aimed to keep our promises, providing families with stability in good times and in bad. Throughout that history, we have provided peace of mind to those families as they plan their futures.

Our mission extends beyond the insurance and annuities policies that we offer. We strive to make the world a better place through our grants from our charitable foundation, paid volunteer time for our employees, environmentally sustainable and healthy workplaces, and events that promote the work of nonprofits in our own backyard.

NLG Capital, the investment management company of NLG, manages approximately $40+ billion in AUM. Our purpose is simple – to allow NLG to keep its promises. How we do this – an obsessive focus on delivering investment results.

We drive results through a rigorous but collaborative investment process, and we hold ourselves to the highest standards, both as investors and teammates. Our culture is guided by principles:
Meritocracy, Uncompromising Transparency, Intellectual Honesty, Performance‑Driven Learning, and Relentless Pursuit of Excellence. These principles serve as the foundation of our team and govern how we interact and approach every investment decision.

The Investment Analytics Analyst will have direct exposure to NLG Capital's investment process by supporting senior members of the Office of the CIO team. The role works across asset allocation, risk management, credit surveillance, and competitive intelligence using modern data, including AI tooling, to bring transparency, objectivity, and speed to portfolio positioning and risk.

This is a high‑impact seat in National Life’s investment process. The analyst will provide the information and reporting our decision‑makers need to act with conviction and help ensure those decisions remain aligned with the strategic objectives and constraints of the life insurance general account.

• Support the Office of the CIO in bringing transparency to NLG Capital's investment strategies across the general account.
• Build and maintain analytical tools, monitors, and dashboards that organize complex datasets—including issuer‑level credit data, manager exposures, peer disclosures, and market data—into legible and actionable reports for senior decision‑makers.
• Automate recurring workflows—risk reporting, exposure aggregation, ALM scenario inputs—so the team spends time on judgment, not assembly.
• Support investment, risk, and operations colleagues in identifying the highest‑leverage problems where technology and AI can compress turnaround time or expand coverage.
• Apply software engineering practices—version control, code review, testing, documentation—so the tools we build are durable and shareable across the team.

• Degree in Financial Engineering, Data Science, or Computer Science (or a combination of experience and education), with a demonstrated interest in financial markets.
• Demonstrated experience in financial analysis, analytics, or quantitative development roles is a plus.
• Python and SQL are core requirements
  , not nice-to-haves.
• Proficiency with Excel and at least one BI / visualization platform (Tableau, Power BI, or equivalent).
• Practical experience using LLMs and AI coding assistants (e.g., Claude, Claude Code, Copilot, Cursor) to accelerate analysis, process unstructured documents, and build internal tooling. Candidates should have opinions about where these tools work, where they fail, and how to verify their output.
• Exposure to a cloud data platform (Snowflake, Databricks, Big Query, or similar) is a plus.
• Experience with code development best practices—modular code, testing, documentation, code review—is a plus.
• Intense intellectual curiosity, strong work ethic, and a track record of driving projects to completion.
• Solid interpersonal skills and an inclusive, collaborative working style.

• Results‑driven, with a bias toward shipping useful tools rather than perfect ones.
• Treats AI as a force multiplier—neither dismissive nor over‑credulous. Knows when to use it, when…