Analyst, Investment Analytics
About The Position
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 the way we frame 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 will help ensure those decisions remain aligned with the strategic objectives and constraints facing a life insurance general account.
Requirements
- Degree in Financial Engineering, Data Science, or Computer Science (or a combination of experience and education), with a demonstrated interest in financial markets.
- 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. We expect candidates to have opinions about where these tools work, where they fail, and how to verify their output.
- Intense intellectual curiosity, strong work ethic, and a track record of driving projects to completion.
- Solid interpersonal skills and an inclusive, collaborative working style.
Nice To Haves
- Demonstrated experience in financial analysis, analytics, or quantitative development roles considered a plus.
- Exposure to a cloud data platform (Snowflake, Databricks, BigQuery, or similar) is a plus.
- Experience with code development best practices — modular code, testing, documentation, code review — is a plus.
Responsibilities
- 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 — issuer-level credit data, manager exposures, peer disclosures, 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 its 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.
Benefits
- Your benefits start day one and are flexible and customizable to your and your family’s specific needs.
- 401(k) eligibility
- various paid time off benefits, such as vacation, sick time, and parental leave
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
Associate degree
