Key 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
Preferred Skills:
Technology->Architecture->Architecture - ALL,Technology->Data on Cloud-DataStore->Snowflake
