Senior ML Engineer at Palms Insurance developing AI solutions to enhance underwriting profitability and operational efficiency. Collaborating on data engineering and financial accounting strategies.
Responsibilities
Architect AI and data engineering solutions to enhance underwriting profitability, claims accuracy, and operational efficiency.
Build robust ETL/ELT pipelines using AWS integrating P&C data including policy bordereaux and claims transactions.
Implement data quality frameworks validating P&C metrics and design LLM-based ingestion workflows.
Develop automated reconciliation pipelines and build ML-driven anomaly detection for premium discrepancies.
Requirements
Master's or Ph.D. in Physics, Mathematics, Computer Science, or related field
7+ years in data engineering and ML with 5+ years in P&C insurance and 3+ years in reinsurance operations
7+ years hands-on AWS experience (Glue, Redshift, S3, Lambda, CloudWatch)
Extensive knowledge of reinsurance treaty types: quota share, surplus share, excess of loss, stop loss, facultative, finite risk
Demonstrated expertise in reinsurance financial accounting: premium and loss ceding calculations, commission settlements (flat, sliding scale, profit commission), reinstatement premium accounting, experience refunds, loss portfolio transfers, and retroactive reinsurance.
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