Educational Requirements

Bachelor of Engineering,Intergrated course BCA+MCA,MCA

Service Line

BPO Service Line

Responsibilities

- Design end-to-end ceded reinsurance data models across the lifecycle: Treaty facultative placements, layers, limits, participation
- Define Gross, Ceded, and Net data views with consistent grain across: 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:
- Treaty types (QS, Surplus, XoL, Stop Loss)



and Facultative reinsurance
- Recoveries, accruals, cash calls, commutations, and credit control
- 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:
- Fivetran for scalable ingestion of reinsurance, finance, and bordereaux data
- 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
- Solid 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

📌 Snowflake Data Architect (Bengaluru)
🏢 Infosys
📍 Bengaluru