Sr. Commercial P&C Insurance Analyst (Data Science Team), Ezeiza

LineSlip Solutions is seeking a Sr.
Commercial P&C Insurance Analyst to join our Data Science team and serve as a senior insurance subject matter expert for complex commercial P&C program structuring.In this role, you will work closely with data scientists, engineers, and product teams to interpret and standardize complex insurance programs across primary, excess, quota share, and reinsurance layers.
You will help translate real-world insurance documents - often inconsistent, layered, and highly negotiated - into structured representations that power analytics, visualization, and AI-driven workflows.This is a high-impact role for someone who combines deep commercial P&C technical knowledge with the ability to work in a fast-moving, data-centric environment.No third partiesMust be fluent to the highest level in both written and spoken EnglishMust have either a CPCU or ARM designationApplicants encouraged from: India, Romania, South Africa, Latin America (Argentina).
What You'll DoInterpret and structure complex commercial P&C insurance programs across multiple lines of businessExtract, validate, and normalize key terms from: Binders, Policies, Endorsements, Schedules, Slips, Invoices / supporting placement documentsMap and validate program architecture, including: Retentions / SIRs / deductibles, Primary and excess layers, Attachment points and limits, Quota share participation, Carrier shares and lead/excess positions, Sublimits and aggregate limits, Follow-form vs non-follow-form provisions, Layer sequencing and exhaustion logicIdentify gaps, overlaps, conflicts, and ambiguous wording that may impact coverage interpretation or program modelingPartner with the Data Science team to define insurance logic used in extraction, QA, and normalization workflowsSupport training and validation of AI/LLM-assisted document intelligence systems by providing expert insurance reviewHelp design and refine structured data schemas for complex tower and policy architectureSupport renewal and comparative analyses by identifying material structural changes year-over-yearProvide subject matter expertise to product and engineering teams building analytics and visualization toolsRequired Experience4-15+ years of experience in commercial P&C underwriting, pricing, or reinsuranceExperience working with either: a surplus lines broker / wholesaler.
a London Syndicate / London market environmentDeep expertise in layered commercial P&C program structures and placement mechanicsStrong practical experience interpreting: Policy forms, Endorsements, Binders, Follow-form language and carvebacks, Attachment/exhaustion mechanicsDemonstrated ability to resolve ambiguity across multiple insurance documents and create a clear, defensible program structureStrong attention to detail and analytical judgment in complex risk interpretationPreferred BackgroundExperience in one or more complex lines such as: Excess Liability / Umbrella, D&O / Financial Lines, Cyber, Crime, Property (shared and layered placements), Casualty programs with quota share participationFamiliarity with reinsurance concepts and program interactions (fac/treaty awareness helpful)Experience supporting insurance analytics, portfolio reporting, or data structuring initiativesComfort working with technical teams (data science, engineering, product) in a collaborative build environmentWhat Success Looks LikeComplex insurance towers and program structures are represented accurately and consistently in structured data outputsAmbiguities and document conflicts are surfaced early with clear reasoning and documentationInsurance logic is translated effectively into scalable data science and QA workflowsStructured outputs can be trusted for analytics, benchmarking, visualization, and renewal strategy decisionsCross-functional teams move faster because insurance domain interpretation is precise, repeatable, and well documentedWhy Join LineSlip SolutionsYou'll work on a category-defining problem in commercial insurance: turning fragmented, complex program documentation into reliable intelligence.
This role offers the opportunity to apply deep insurance expertise in a modern data science environment, helping shape tools that improve how risk is structured, analyzed, and understood.
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