N

National Life

Longstanding life insurer providing financial protection

Director – Investment Data & Analytics

Data ManagementConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • A bachelor's degree in Finance, Economics, Accounting, Data Science, or a related quantitative field.
  • 7–10+ years of experience in investment data management, investment operations, or investment accounting, including meaningful tenure at an insurance company general account or insurance asset manager.
  • A strong background in artificial intelligence, with demonstrated ability to use AI to drive efficiency and solve business problems.
  • Strong SQL skills and hands-on experience with data warehouse environments and ETL processes.
  • Advanced Microsoft Excel skills, including Power Query, with demonstrated ability to build controlled, repeatable data processes.
  • Experience with at least one institutional investment accounting or data platform, such as Clearwater, Eagle/BNY, PAM, CAMRA, Aladdin, or Bloomberg AIM.
  • Proven ability to translate between investment professionals, accountants, and IT engineers.
  • Leverage approved AI tools, where appropriate, to improve work efficiency, quality, and impact; remain open to AI-enabled ways of working; review and validate AI-generated content; maintain accountability for work accuracy, quality, fairness, and integrity; and use AI responsibly under company policies covering confidentiality, data privacy, security, compliance, retention, and intellectual property.

Responsibilities

  • Implement and maintain the investment data classification framework, including asset class hierarchies, sector and rating schemas, security master and issuer reference data, and mappings across accounting, warehouse, and reporting layers.
  • Establish and maintain common business definitions and a governed data set for internal and external reporting.
  • Define and enforce data quality standards, exception-management routines, and controls; detect, escalate, and remediate data errors at the source.
  • Maintain documentation of data lineage from source systems through the investment data warehouse to reporting outputs.
  • Own the integrity of inputs to and outputs from the investment accounting platform, including new-asset setup, trade activity, corporate actions, pricing, and analytics feeds.
  • Ensure classifications and data attributes support statutory reporting, including SSAP treatment, NAIC designations, Schedule D/BA/DB feeds, and RBC/capital reporting inputs.
  • Partner with investment accounting on reconciliations among the accounting system, custodian records, and data warehouse; own resolution of breaks affecting reporting.
  • Support quarter-end and year-end close with a validated, reconciled, governed data set on a reliable calendar.
  • Serve as the investment team product owner for the investment data warehouse by defining requirements, prioritizing the enhancement backlog, and representing business needs in architecture decisions.
  • Partner with IT on vendor feed onboarding, pricing and ratings feeds, analytics and benchmark data, ETL design, and automation of manual data processes.
  • Perform user acceptance testing for warehouse changes and feed migrations, and certify data before release to reporting consumers.
  • Manage relationships with market data vendors, including licensing scope and data usage.
  • Provide governed, analysis-ready data for investment committee dashboards and packets, Board and risk committee exhibits, ALM and hedging analytics, credit migration and concentration reporting, and rating agency and regulatory surveys.
  • Fulfill ad hoc data requests from portfolio managers, senior leadership, and control functions accurately and promptly; build repeatable extracts to retire one-off processes.
  • Advance the division's analytics tooling, including SQL, Power Query/Power BI, and Python, and identify opportunities to apply automation and AI to data validation and reporting production.
  • Provide direction and coaching to analyst resources supporting data operations, as applicable.
  • Champion a data-first culture within the investment division and train users on governed data sources and self-service tools.
  • Lead data workstreams for system implementations, conversions, and modernization initiatives.

Desired Qualifications

  • Experience across public fixed income, private credit, structured products, mortgage loans, alternatives, and derivatives data.
  • Working fluency in statutory investment reporting concepts, including SSAP accounting treatment, NAIC designations, and annual statement investment schedules.
  • Python, Power BI/Tableau, or comparable analytics tooling.
  • Experience leading a data warehouse modernization or accounting system conversion.
  • CFA, FRM, or progress toward a relevant designation.

About the Company

National Life

Longstanding life insurer providing financial protection

National Life provides life insurance and related financial services through its group of affiliated companies. Its offerings include life insurance for individuals and groups, plus investment and retirement products provided by its broker-dealer and registered investment adviser affiliates. The policy structure typically includes death benefits and potential cash value growth, funded by regular premiums over time. The company relies on a long-standing history (since 1848) and a network of affiliated entities to serve clients with financial protection and planning solutions. National Life positions itself on steady, values-driven service with a focus on providing financial peace of mind in times of need. Its goal is to help people secure their families’ futures and support financial stability through responsible, transparent coverage and guidance.

Company size
1,001-5,000
Company stage
Not listed
Total funding
$15.8M
Headquarters
Montpelier, VT
Founded
1848

Recently Posted Jobs

Explore more opportunities at National Life

See more jobs