Delta Hydro Engineers (Pty) Ltd The Flood Specialists

Flood Risk Intelligence

Portfolio Exposure Quantification

Run an insurance portfolio against our hazard layers. Expected annual loss, accumulation, and concentration metrics delivered as a report plus data files — no black-box.

Delivered as an engagement Beta — growing coverage

Who it's for

Insurers, reinsurers, and brokers quantifying flood exposure across South African property portfolios.

Coverage today

Available for portfolios in regions where our hazard layers are production or beta; we will flag any gaps up front.

Who it’s for

Underwriters and portfolio managers who need a defensible, auditable view of flood exposure — not a score of unknown provenance. You send us a property list; we return the losses, the assumptions, and the evidence.

What you get

  • Property-level hazard attachment (depth at agreed return periods, exposure tier).
  • Expected annual loss (AAL) per property and aggregated at any policy or region grouping you specify.
  • Accumulation and concentration metrics at configurable aggregation levels (grid, catchment, municipality, postcode).
  • Sensitivity tests — how results change under alternative hydrology assumptions or depth-damage curves.
  • Results delivered as a report and accompanying data files (CSV/Parquet, and GIS extracts where relevant).

How it works

  1. Scope and portfolio intake. We agree the geography, return periods, and depth-damage assumptions. Portfolio data is ingested in the format you use — policy system export, CSV, or geocoded shapefile. We flag rows we could not geocode or for which we do not have hazard coverage, before we run anything.
  2. Hazard attachment. Each property is intersected with the hazard layers. Where coverage is beta or roadmap, the output records that fact explicitly alongside the result; we do not silently fill gaps.
  3. Loss modelling. Depth at return period drives damage using agreed depth-damage curves (industry standard, your in-house curve, or a transparent blend). AAL is computed by integrating over the return-period set.
  4. Aggregation. Results roll up to any grouping you specify — policy, region, municipality, reinsurance treaty, custom.
  5. Review and iteration. You get one round of review and clarification. Re-runs under alternative assumptions are scoped as extensions.

Coverage & honesty

The quality of the portfolio result depends on where our hazard layers stand for each property. We are explicit about this in the deliverable:

  • Properties in production coverage return their AAL with full methodology backing.
  • Properties in beta coverage return an AAL with the regional caveat noted.
  • Properties in roadmap coverage are reported as “no hazard layer” — not as zero.

A black-box score would hide this. We prefer the honest breakdown and let you decide how to treat the uncovered slice.

What this is not

This is a service engagement delivered as a report and data files. It is not a live platform, a self-service API, or a continuously updated dashboard. The consolidated platform that will host these capabilities is tracked as Insurance risk platform on our roadmap.

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