Responsibilities :
Design end-to-end ceded reinsurance data models across the lifecycle: o Treaty & facultative placements, layers, limits, participations o Premium cessions, commissions, reinstatements o Claims, accruals, recoveries, cash calls, settlements
Define Gross, Ceded, and Net data views with consistent grain across: o Underwriting year, accident year, accounting and reporting periods
Architect data structures supporting actuarial triangles (paid, incurred, ultimates) and ultimate recoveries analysis
Enable accruals, credit control, and recoveries analytics, including counterparty exposure, overdue balances, and leakage tracking
Drive ceded reinsurance data products for actuarial, finance, management, and regulatory reporting
Design data models and reporting layers to support QMA and statutory returns, ensuring auditability, lineage, and consistency
Establish data quality, reconciliation, and governance frameworks for ceded reinsurance domains
Act as a trusted advisor to Reinsurance, Finance, Actuarial, Claims, and Analytics stakeholders.
Additional Responsibilities:
Ceded Reinsurance Domain (Mandatory)
Strong hands-on experience with: o Treaty types (QS, Surplus, XoL, Stop Loss) and Facultative reinsurance o Recoveries, accruals, cash calls, commutations, and credit control o Gross / Ceded / Net actuarial and financial views
Experience supporting triangles, ultimates, and regulatory (QMA) reporting Data Architecture & Technology
Expert in conceptual, logical, and physical data modeling
Strong experience with cloud data platforms (Snowflake, Databricks, Azure/AWS)
Proven use of: o Fivetran for scalable ingestion of reinsurance, finance, and bordereaux data o Apache Kafka for event-driven and near real-time claims, recoveries, and financial feeds
Advanced SQL and working knowledge of Python
Experience supporting analytics and BI consumption (Power BI / Tableau). Personal Attributes
Strong analytical mindset with attention to financial and contractual detail
Ability to bridge actuarial, finance, and data engineering teams
Executive-level communication and stakeholder management skills
Comfortable operating in complex, global reinsurance environments.
