Parametric structuringAPAC & emerging markets

Parametric covers, built for placement.

One governed workspace for exposure, trigger design, backtests, and the pack your structuring desk ships to underwriters.

Open the workspace See how it works

Serialized trigger DSL
Regulator-ready exports

Placement workspace

Gwangjang Market Rainfall BI

Draft v3

Trigger chain

live draft

KMA rainfall

3-day rolling sum

Heat stress gate

Tiered payout

Backtest snapshot

20 years

Miss rate

8.7%

Pure premium

1.9%

Exposure

Polygon + sector preset + revenue basis

Governance

Reviewer gate + lineage + audit trail

Output

Underwriter pack + regulator doc + JSON

Why structuring desks stall

Parametric covers die between the spreadsheet and the reinsurer.

The design work is real. The artifact that leaves the desk is not. JR Parametric closes the gap between how a trigger is reasoned about and how it gets placed.

Spreadsheet structuring doesn't survive the reinsurer meeting

Analysts patch Excel models with tribal knowledge, then can't reproduce a number when a capacity provider pushes back three weeks later.

Index logic lives in app state, not in a contract

When the trigger isn't a serializable spec, every rerun is a guess and every export is an argument with the audit trail.

Basis risk is disclosed in prose, not measured

Regulators and reinsurers increasingly want miss-rate, severity-weighted error, and stress diagnostics in the pack. A chart in a deck isn't enough.

The product

One workspace. Every decision an underwriter will interrogate.

Six modules stitched around a single serialized spec — so what the analyst designs, the backtest runs, and the pack exports are the same object with the same hash.

Exposure builder

Define the insured footprint with admin-code autocomplete, boundary polygons, sector presets, and loss-proxy upload under NDA.

Trigger designer

Author the index as a declarative DSL — rolling sums, anomaly-vs-climatology, zoned IDW, tiered payouts — backed by eight starter templates.

Backtest engine

Run 10-20 year histories with payout schedules, pure premium, attachment frequency, Monte-Carlo stress, and full basis-risk diagnostics.

Data registry

National meteorological stations, ERA5 reanalysis, utility and statistics feeds, and satellite NDVI. Every dataset is versioned, hashed, and tracked for freshness and revisions.

Review workflow

Diff two trigger versions, thread comments on any version, and enforce reviewer sign-off before a spec is promoted to placement-ready.

Placement pack export

One command produces the underwriter PDF, regulator-ready docx, and reinsurer-ready JSON — each stamped with a cryptographic content hash.

A Monday afternoon at the desk

From brief to placement pack, without leaving the workspace.

A structuring analyst walks in with a brief — an irradiance-linked solar revenue cover, 2% of sum insured — and walks out Thursday with a defensible, reproducible pack for the reinsurer.

Frame the project

Draw the polygon, pick a sector preset, and attach the loss proxy — either an NDA upload or a reference series from the library.

Shape the trigger

Start from a template, wire inputs and thresholds, and watch the serialized JSON update as you edit.

Stress the signal

Run a 20-year backtest, iterate on missed-loss events, and compare up to four variants side-by-side before choosing one.

Ship the pack

Tag a reviewer, resolve comments, promote to placement-ready, and export the full pack for the reinsurer meeting Thursday.

Governance by default

Every number defensible. Every version auditable.

Regulators, reinsurers, and your own compliance team are going to ask how a strike was chosen and what data it was tested against. JR Parametric answers those questions in the pack itself — not in a follow-up email.

Content-hashed artifacts

Every trigger version, dataset snapshot, and exported pack carries a stable hash so downstream parties can verify exactly what they received.

Immutable backtest runs

Once a backtest completes, its inputs, outputs, and worker version are frozen. Rerun to compare — never to rewrite history.

Basis-risk as a first-class metric

Hit rate, false-negative rate, severity-weighted miss, and Gini-style loss ranking sit next to the payout chart, not in a footnote.

Focus lines

Purpose-built for the climate-linked covers APAC is buying next.

Five climate-linked sectors where we already have templates, governed data sources, and a placement pattern that holds up.

Merchant district BI

Rainfall and heat-driven business interruption for dense retail corridors.

Solar revenue

Irradiance and curtailment covers for generation operators.

Public infrastructure

Event-linked repair-cost covers for municipal and utility assets.

Aquaculture

Marine heatwave and typhoon covers for coastal operators.

Hydropower

Precipitation-deficit revenue protection for run-of-river assets.

Pilot cohort open

Structure a trigger you can defend.

Explore the live DSL in the Trigger Designer, or reach out to scope a design-partner engagement.

Open Trigger Designer Talk to the team