Sr ML Engineer - Reinsurance & Insurance Finance
Position Specific Description
As a Senior ML Engineer at Palms Insurance, you will architect AI and data engineering solutions that directly enhance underwriting profitability, claims accuracy, reinsurance optimization, and operational efficiency across our P&C portfolio. This strategic role requires deep expertise in insurance data ecosystems—policy administration, claims management, reinsurance structures (assumed and ceded), and insurance financial accounting—combined with advanced ML capabilities to address property risks, casualty exposures, and regulatory compliance challenges.
AI Engineering & P&C Data Integration:
Build robust ETL/ELT pipelines using AWS (Glue, Redshift, S3, Lambda, Aurora) integrating P&C data including policy bordereaux, claims transactions, loss runs, exposure data, and reinsurance bordereaux
Implement data quality frameworks validating P&C metrics: loss ratios, combined ratios, reserve adequacy, IBNR estimates, exposure accumulation, ceded premium reconciliation, and sliding scale commission calculations
Design LLM-based ingestion workflows automating data mapping for MGAs, carriers, reinsurers, and program administrators
Create semantic layers translating raw data into standardized P&C schemas (ISO classifications, territory mappings, treaty types, attachment points)
Oversee production deployments with A/B testing frameworks for ML-driven underwriting and claims decisioning
Handle ad-hoc reporting, data anomaly resolution, and AWS job-aid refactoring
Reinsurance Financial Accounting & Reconciliation:
Develop automated reconciliation pipelines matching ceding company statements, reinsurer statements, and internal records with exception workflows
Build ML-driven anomaly detection identifying premium discrepancies, commission errors, and loss allocation mismatches
Create predictive cash flow models for reinsurance recoverable forecasting collection timing and dispute impacts
Implement actuarial support for Schedule F preparation, collectability assessments, unauthorized reinsurer collateral tracking, and NAIC regulatory reporting
Engineer financial pipelines supporting SAP and GAAP requirements including DAC, UPR, loss reserve discounting, and contingent commission accruals
Data Strategy & Governance:
Co-develop data strategy with the VP of Data Analytics & Technology aligned with actuarial, underwriting, claims, and finance objectives
Implement data governance standards ensuring compliance with state insurance regulations, NAIC reporting requirements, Solvency II (for international operations), credit for reinsurance regulations, and SOC 2 controls
Maintain CI/CD processes via GitHub with peer review protocols, comprehensive code documentation, and model validation frameworks meeting actuarial and reinsurance accounting standards
Deep understanding of P&C insurance concepts: combined ratio mechanics, loss triangles, IBNR methodologies, cat modeling, treaty reinsurance structures, and regulatory reporting (Schedule P, Annual Statement)
Lead peer-review processes to ensure high-quality and reliable data science work.
Ideal Skills and Qualifications:
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.
Expertise in reinsurance accounting: premium/loss ceding, commission settlements, reinstatement premium, experience refunds, commutations
Strong database architecture, data warehousing, and ETL experience
Experience with Power BI, Grafana, and web app tools
Strong Scrum project management skills
ARe/CRe (Reinsurance Fellowship/Chartership), or progress toward reinsurance credentials is highly desirable
CPA, CFA, or advanced coursework in insurance accounting and financial reporting is a strong plus
Insurance experience in Commercial or Specialty (Property & Casualty)
Job Overview
This position is responsible for developing algorithms, modeling techniques, and optimization methods that support many aspects of NextEra and FPL business. Employees in this role use knowledge of machine learning, optimization, statistics, and applied mathematics along with abilities in software engineering with a focus on distributed computing and data storage infrastructure (i.e., “Big Data”).
Job Duties & Responsibilities
Develops machine learning, optimization and other modeling solutions
Prepares comprehensive documented observations, analyses and interpretations of results including technical reports, summaries, protocols and quantitative analyses
Works with big data and distributed computing platforms
Develops software and contributes to product development
Performs other job-related duties as assigned
Required Qualifications
Bachelor’s Degree
Experience: 4+ years
Preferred Qualifications
Master’s Degree
Doctoral Degree
