Data Coordination & Integration
- Coordinate prioritization and delivery of data changes across actuarial, IT, and business teams.
- Support integration of new or updated data sources into Prophet and other actuarial systems.
- Ensure Prophet tables and actuarial data structures remain aligned, consistent, and optimized across product lines.
- Work with business partners to understand how data movements impact results, providing clarity, analysis, and direction.
- Collaborate with business stakeholders to understand actuarial model requirements, ensuring data is structured appropriately to meet modeling needs.
Support & Implementation
- Assist in onboarding new products into production data pipelines and actuarial systems.
- Support assumption updates, asset/market scenario inputs, reinsurance changes, and other data updates.
- Partner with modeling teams to define optimal data approaches for new products that streamline regression testing and accelerate development.
Quality Assurance & Data Governance
- Develop and apply data validation rules, diagnostic checks, and cleansing routines.
- Identify future data issues that may impact quarter‑end reporting by understanding model run structures and policy mapping logic.
- Implement governance for centralized reference tables to ensure reproducibility and cross‑team consistency.
Prophet Data Tables & Data Domains
- Maintain reference data tables (risk codes, cap rates, product mappings, file name assignments).
- Understand and manage relationships between data domains and Prophet inputs to ensure accuracy and completeness.
- Update cohort mapping and Prophet file references for new or revised products.
Process Optimization
- Identify automation opportunities and areas for process improvement to enhance reliability and efficiency.
- Mitigate risks caused by new plan codes, new asset types, missing keys, or evolving table structures.
- Improve the stability and reproducibility of historical model runs and reporting cycles.
Analysis & Insights
- Conduct exploratory data analyses on both input and output data.
- Provide insights and decision support to actuarial, finance, and business teams.
- Assist with reporting enhancements, ad hoc studies, and enterprise analytics initiatives.
Documentation & Training
- Develop clear and comprehensive documentation for data processes, governance, and workflows.
- Provide training and support to actuarial and non‑actuarial partners to build shared understanding and transparency.
Requirements
- Actuarial Credentials: FSA
- Bachelor’s in Actuarial Science, Mathematics, Statistics, Computer Science, or related field.
- Strong background in data management, governance, data architecture, or actuarial data processes.
- Experience working with actuarial models and data structures.
- Technological skills: SQL, scripting (Python/R), relational databases, data lakes, and data management platforms.
- Experience with Snowflake, Prophet, or PolySystems is a strong plus.
- Analytical abilities: skilled in interpreting complex datasets and diagnosing data issues.
- Communication: ability to translate technical details into clear business language.
- Project management: effective at organizing workflows, timelines, and stakeholder alignment.
- Continuous learning: interest in expanding expertise in Prophet data architecture and modern data management approaches.
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