Data Engineering Best Practices for Actuaries
The Society of Actuaries funds research to develop robust, evidence-based data engineering best practices and tools for advancing actuarial data science and pipeline reliability.
Funder: Society of Actuaries
Due Dates: August 14, 2026 (Notification of Intent) | September 11, 2026 (Proposal submission)
Funding Amounts: Typical project budgets range from $25,000–$50,000; literature reviews $15,000–$20,000; survey-based projects $28,000–$55,000.
Summary: Supports research to develop practical, evidence-based data engineering best practices, reference architectures, and tools for actuarial applications.
Description
The Society of Actuaries (SOA) Research Institute invites proposals for research focused on establishing data engineering best practices for actuaries. The initiative aims to improve the trustworthiness, efficiency, and reproducibility of actuarial data pipelines across life, health, retirement, and property & casualty (P&C) domains. Researchers will develop actionable guidance, technical reports, reference architectures, practitioner toolkits, and reusable artifacts to support high-quality data engineering standards. Key areas include pipeline governance, data lineage, quality controls, privacy, observability, operational documentation, validation, audit trails, and the integration of AI to enhance actuarial data engineering processes.
