Reuben AI

    Insurance-Linked Securities, with structure-aware discipline

    Catastrophe bonds, sidecars and ILS funds with peril modelling, trigger tracking and reinsurance attachment logic.

    Insurance-linked securities transfer natural catastrophe and specialty insurance risk from insurers to capital markets. Cat bonds, sidecars and collateralised reinsurance vehicles each carry specific peril exposure, trigger mechanisms and attachment logic. Portfolios need peril modelling, event tracking and structured trigger surveillance. Reuben AI provides an operating layer purpose-built for ILS funds with peril concentration analytics, event surveillance and structured LP reporting for institutional cat capital.

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    Why this asset class needs a different operating model

    Peril is the exposure. Wind, quake, wildfire, flood and specialty perils each have distinct return-period distributions. Portfolio exposure must be measured per peril.

    Attachment structure matters. Indemnity, parametric and industry-loss triggers each behave differently. Attachment points and layers determine payout.

    Events are episodic. Losses cluster with events. Real-time event tracking and trigger surveillance during active perils is essential.

    Reinsurance cycle is the market. Rate-on-line, capacity and terms cycle with loss experience. Underwriting discipline needs to reflect the cycle.

    How Reuben AI covers it

    Peril concentration analytics

    Wind, quake, wildfire, flood and specialty peril exposure tracked structurally with portfolio-level concentration analytics.

    Attachment and trigger encoding

    Indemnity, parametric and industry-loss triggers with attachment points and layers encoded per position.

    Event surveillance

    Real-time event tracking during active perils with structured trigger surveillance and payout estimation.

    Sidecar and collateralised reinsurance

    Sidecar structures and collateralised reinsurance vehicles with capital, loss and return-of-capital tracking.

    LP reporting for ILS

    LP reporting with peril concentration, event surveillance, return-of-capital timelines and portfolio-level return attribution.

    Sub-asset overlays inside Insurance-Linked Securities

    Insurance-Linked Securities carries 5 sub-asset overlays in the Reuben AI rubric registry: Catastrophe bonds, Collateralised reinsurance, Industry loss warranties, Life settlements and Longevity risk. Those overlays are part of the 314 sub-asset overlays the platform maintains across 56 of its 68 native asset classes.

    An overlay never reweights the parent rubric. It adds the extra scoring criteria, risk flags, document types and key term fields that only apply to that slice, so a catastrophe bonds deal and a longevity risk deal are both scored on the shared insurance-Linked Securities rubric while each is still asked the questions specific to its structure. That is what keeps deals inside one asset class comparable to each other and to the rest of the portfolio.

    Selecting an overlay at intake changes what the platform expects: the document checklist, the extraction schema for key terms, and the flags raised when a term sits outside the range the rest of your insurance-Linked Securities book has accepted. Nothing is retrofitted later by hand.

    • Catastrophe bonds
    • Collateralised reinsurance
    • Industry loss warranties
    • Life settlements
    • Longevity risk

    The diligence record a insurance-Linked Securities deal produces

    Every insurance-Linked Securities opportunity that moves through Reuben AI leaves a structured record rather than a folder of documents and a memo. The rubric score is stored with the criteria that produced it, each extracted key term is stored with the clause and page it came from, and every flag is stored with the reason it fired and who cleared it.

    The practical effect is that the investment committee paper, the LP report line and the audit trail are all reading the same underlying record. When an LP asks in year three why a insurance-Linked Securities position was underwritten the way it was, the answer is retrieved, not reconstructed.

    • Rubric score with the criteria and weights that produced it
    • Key terms extracted with a clause-level source reference
    • Risk flags with the trigger, the owner and the resolution
    • Comparison against prior deals in the same asset class
    • Investment committee pack generated from the stored record
    • An immutable trail of who changed what and when

    What this means for fund operations

    Insurance-Linked Securities sits as a core allocation for Hedge Fund mandates, and is adjacent or opportunistic for 3 of the other fund types the platform serves.

    That matters operationally because most funds do not hold insurance-Linked Securities alone. The moment a portfolio spans more than one asset class, comparability becomes the constraint: a position scored on a bespoke insurance-Linked Securities spreadsheet cannot be ranked against a position scored somewhere else. Running insurance-Linked Securities on the same rubric engine as the rest of the book removes that break.

    Reporting inherits the same property. Portfolio monitoring, valuation cadence, capital account movement and LP reporting all draw from the single stored record, so a insurance-Linked Securities position appears in the quarterly pack on the same basis as every other holding, with the same evidence behind it.

    Relevance by fund type

    VC

    Niche

    PE

    Niche

    Private Credit

    Adjacent

    Growth Equity

    Niche

    Hedge Fund

    Core

    Infrastructure

    Niche

    Family Office

    Adjacent

    Emerging

    Niche

    CVC

    Niche

    Institutional

    Adjacent

    Asset classes held alongside this one

    Full coverage across all 68 native asset classes is listed on the coverage page.

    Related solutions

    Common questions

    Are indemnity, parametric and industry-loss triggers all supported?

    Yes. Each trigger type is encoded per position with attachment points and layers, and event surveillance covers each.

    How is peril concentration measured?

    Peril exposure is tracked structurally per position with portfolio-level concentration analytics by peril, geography and return period.

    Are sidecars supported?

    Yes. Sidecar structures with capital deployment, loss experience and return-of-capital timelines are supported alongside cat bonds and collateralised reinsurance.

    How many sub-asset overlays does Insurance-Linked Securities have?

    5: Catastrophe bonds, Collateralised reinsurance, Industry loss warranties, Life settlements and Longevity risk. They sit within the 314 overlays the platform maintains across 56 of its 68 native asset classes.

    Which fund types treat insurance-Linked Securities as core?

    Hedge Fund. Relevance for every other fund type is shown in the relevance grid on this page, graded as core, adjacent, opportunistic or niche.

    Can insurance-Linked Securities be compared against other asset classes in the same portfolio?

    Yes. Every asset class runs on the same rubric engine, so scores, flags and key terms are stored in a common structure. Positions across different asset classes are ranked and reported on the same basis.

    See Insurance-Linked Securities in Reuben AI

    Book a demo to walk through deal flow, diligence and reporting tailored to this asset class.

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