Zurich · Reinsurance · Technology

Where numbers tell the true story.

VinkeRE — pricing-to-capital software for non-life reinsurance. One high-performance Python core, delivered through whatever interface fits your team — Excel, API or web.

We built a reinsurer’s full pricing infrastructure in months — and ran it in production for eight years. Now we’re building the next generation of actuarial software.

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Three ways to work with us.

01Production-ready core

VinkeRE Modelled Risks

The complete modelled-risk workflow — vendor cat outputs (RMS, AIR), cyber model outputs, or parametric frequency-severity simulation. ELT/YELT ingestion → unique hashing → stochastic simulation → treaty pricing & structuring → documentation → portfolio accumulation, with roll-back by layer, peril, country and model. One common language: ELT and YELT — delivered through the interface that fits your team.

02Model-fit

VinkeRE Non-Life

The same Python core, calibrated to your modelling framework — SST, Solvency II or internal model. Not just a tailored interface: your assumptions, your risk view, your capital structure, built into the engine.

03Proven over 8 years

Pricing Infrastructure Support

Bespoke pricing environments and hands-on support — tools, databases, reporting — built and run in production for eight years at Toa Re Europe. The experience VinkeRE was born from.

Around the platform
Advisory · powered by VinkeRE

Senior actuarial advisory delivered on our own engine — structuring reviews, portfolio studies, second opinions. Fast, because the platform does the heavy lifting; rigorous, because an actuary drives it.

Enablement & Training

A good tool is only half the story — teams have to master it. Training programmes built around the platform and your workflows, from operator onboarding to underwriter-level output literacy.

Where pricing meets
capital modelling.

Shown here: VinkeRE Modelled Risks on a cat programme. The same core powers VinkeRE Non-Life.

VinkeRE runs the whole chain — vendor model outputs in, capital-aware decisions out. ELTs are forged once into seeded, reproducible YELTs; treaties are priced and structured with full drill-down by layer, event, peril and vendor model; portfolios accumulate gross and net of retrocession; capital is allocated at the point of underwriting.

Every quote knows its return on capital before it is signed.
Step 1 · The Forge — ELT → YELT
VinkeRE — The Forge: bulk ELT import, unique fingerprint, Parquet archive, stochastic simulation with YEQT, YELT with secondary uncertainty, ready for pricing

The Forge — where vendor model outputs become pricing-ready. Every ELT is fingerprinted once, archived in Parquet, and simulated into YELTs with proper secondary uncertainty via pre-simulated Year-Event Quantile Tables (YEQT) — seeded, stored, reproducible to the row.
Simulate once, price everywhere: no duplicate runs, no drift between analyses, a full audit trail by design.

Step 2 · Pricing — structure & stress
cockpit.vinkere / pricing / property-cat-2026
Property Cat XL — 2026 Renewal
RMS v23 · AIR Touchstone · EUR · marginal roll-back active
● Repriced in seconds
Scenario
LayerAttachLimitEL %Tech. PremiumRoL
Layer 110159.8%→11.0%+12%€ 3.60M→€ 4.00M26.7%
Layer 225255.6%→6.6%+17%€ 4.20M→€ 4.85M19.4%
Layer 350253.2%→3.9%+22%€ 2.80M→€ 3.35M13.4%
Layer 475501.6%→2.1%+30%€ 3.20M→€ 4.05M8.1%
Ground-up inflation propagates through every layer — the higher the attachment, the stronger the leverage: +10% inflation, +12% to +30% EL by layer. Recomputed in seconds. The ‘2027 structure · 2026 data’ switch reprices next year’s programme on last year’s YELTs — as-if analysis in one click.
Ceded premium
€ 13.8M € 16.3M
Ceded EL
€ 4.5M € 5.3M
Diversified SCR
€ 49.5M € 53.8M
Return on capital
14.8% 14.1% ↓
Millions of YELT rows forged in seconds on a single container · deployed on-premOne of many possible interfaces — every VinkeRE front-end is built for its user and connected to the same core. Figures are representative.
Step 3 · Capital — allocation & optimisation
cockpit.vinkere / capital / property-cat-2026
Property Cat XL — Capital Allocation
Marginal SCR · return on allocated capital · hurdle 12.0%
● Allocated
LayerTech. PremiumExpected LossExpensesAllocated SCRReturn on Capital
Layer 1 above hurdle€ 3.60M€ 1.47M€ 0.52M€ 8.5M18.9%
Layer 2€ 4.20M€ 1.40M€ 0.61M€ 12.0M18.3%
Layer 3€ 2.80M€ 0.80M€ 0.41M€ 11.5M13.8%
Layer 4 below hurdle€ 3.20M€ 0.80M€ 0.46M€ 17.5M11.1%
Suggested share adjustmentReduce Layer 4 participation 15% → 10%, redeploy capacity on Layer 1 — portfolio return on capital 14.8% → 15.3%.
Diversified SCR
€ 49.5M
Portfolio return on capital
14.8%
Hurdle rate
12.0%
Capital allocated by layer at the point of underwriting — marginal SCR, return on allocated capital, and share optimisation against your hurdle rate. The bridge between pricing and capital, on one screen.

Behind these screens, four capabilities — and one principle: everything traceable.

Four pillars, one engine.
01

Cat Pricing

Complete workflow on vendor cat models (AIR, RMS). All reinsurance structures — XL with reinstatements, Quota Share, Stop Loss, Aggregate covers with annual deductibles, hybrid — with marginal impact analysis and roll-back per layer, event, peril and model.

02

Accumulation

Gross and net-of-retrocession accumulation with marginal contribution analysis. Full roll-back capability per layer, event ID, peril and vendor model. Full OEP and AEP curves, gross and net of retrocession.

03

Capital & Optimisation

Portfolio optimisation under solvency constraints. Share adjustment to optimise capital cost and return on equity — a direct link between pricing decisions and capital impact.

04

Reproducibility

Recipe system with a visual dependency graph for full traceability and instant replay. Change a source, an FX date or a catalogue — recompute in one click — only what changed. Every number auditable.

Under the hood · The Recipe graph

Price the treaty. The audit trail draws itself.

You never draw this graph — VinkeRE generates it with every analysis.

Every analysis in VinkeRE automatically produces a Recipe — the full record of its sources, adjustments and structure. The graph below is simply that Recipe made visible. And because the Recipe knows everything, repricing is trivial: update an FX date, apply an inflation scenario, or price the 2027 structure on 2026 YELTs — the engine replays the Recipe and recomputes only what changed. That is exactly what the scenario switches in the cockpit above are doing.

Source · YELT / calculation node
Inuring · Cat Bond
Result
One structure, one pass, one graph — documentation and auditability built in, not bolted on. Change anything upstream, recompute in one click.
One engine. Any interface. Deploy anywhere. A high-performance Python core behind Excel-native formulas, a web cockpit and a REST API — running on your own infrastructure, evolving with your team.

Architecture

High PerformanceMillions of simulated loss records processed in seconds.Python · Polars
Deploy On Your TermsRuns on your own infrastructure. No cloud dependency, no lock-in.Docker container
Excel IntegrationNative formulas in your existing templates — zero learning curve.C# · Excel-DNA UDFs
Web CockpitVisual dashboards for ingestion, monitoring and YELT management.HTML · REST API

Continuity & Trust

Secured source code

Full codebase held in secure escrow — guaranteeing continuity and complete source access under agreed conditions.

Audit & validation ready

Client code review welcome. Model validation supported by full result convergence against the incumbent vendor engine, recipe traceability, and reproducible seeds stored with every YELT.

Embedded support

Licence & maintenance model — the engine evolves alongside your team, not instead of it.

Judgment over bravado.

Kévin Boniche
Founder & Lead Actuary

I have spent over a decade in reinsurance — across SCOR, MS Re, Sompo and Toa Re Europe — pricing treaties, building workflows, and seeing first-hand where actuarial tools fall short. At some point, I stopped waiting for better tools and started building them myself.

High-altitude mountaineering taught me something reinsurance already knew: judgment matters more than bravado.

You read the terrain, respect uncertainty, trust your preparation, and know when to push — and when to turn back. Vinkery was built with that mindset: rigorous, practical, and designed for decisions where the cost of being wrong is real.

Experience10+ years
ReinsurersSCOR · MS Re · Sompo · Toa Re Europe
Based inZurich
Kévin Boniche on a summit in the Cordillera Real, Bolivia
Cordillera Real · Bolivia
Open Role · Zurich

Junior Actuary-Developer

Join us in Zurich, working directly with the founder on reinsurance pricing, VinkeRE development, and R&D on AI-driven actuarial workflows. Master's in actuarial science, advanced Python, and the ambition to build — not just analyse.

Apply now

Let's talk reinsurance.

Whether you're exploring VinkeRE for your team, interested in joining us, or looking for senior actuarial advisory — we'd like to hear from you.