- Minimum 10+ years of experience in Data Engineering/Data Warehousing
- Microsoft skills required: SSIS/SSRS
- Programming Skills required: Python/Pyspark
- Cloud: Palantir Foundry
- Experience in Financial reporting managing
- Pre-month end/Post-month end process management
- ETL process from multiple data sources to transform and load data.
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Financial Analytics Engineer - Jersey City, United States - Tech Tammina
Description
Role: Financial Analytics EngineerLocation: Jersey City , NJ (Onsite/ Hybrid)
Duration: Long term
Rate: Market
Skills: SSIS/SSRS/Python/PySpark/Palantir
Job Description:
Building data pipelines that produce data assets in the accounting workflow to:
o Reconcile cash to accounting ledgers
o Create financial reporting for reinsurance partners (e.g. excess layer / quota share)
o Support reporting for captive partners
o Settlement reporting
o Detail premium and claims reporting
o Create pipeline adjustments to source system data to reflect correct values and assist in system programming bug fixes
o Manage exception reporting for cross-functional workflows (e.g. collaborative work with policy issue teams)
o Build data health and process control reports
o Develop and report on key business operational and KPI performance metrics.
o Provide reporting for downstream corporate processes (e.g. captive reporting for CRAS, reinsurance platform)
o Work with downstream data teams on reconciliation, integration and data flow alignment.
Building data assets as the foundation for analysis performed by other business functions:
o Data to segment profitability and trend analysis for Pricing Actuarial
o Data to support financial projections and analysis team (FP&A)
o Data to support Reserving Actuarial process
o Data to support Actuarial Control analysis
o Data to support year-end Accounting audit
o Data to support internal audit requests
o Data to support statutory regulatory reporting
o Data to support A&H LoB management steering
o Data to support A&H Underwriting performance metrics
o Data to support A&H Sales team producer partner analysis