Model Hosting and Execution
Bring your models.
Govern, execute, and see impacts instantly.
How we can help
Every risk team runs into the same wall eventually: a model gets rebuilt, recalibrated, or replaced, and the gap between that model change and a governed, regulatory-ready output opens right back up. Compliance re-checks the audit trail, finance rebuilds calculations in parallel spreadsheets, and reporting deadlines slip while someone tries to reconstruct exactly what changed and when.
The .NXT Platform closes that gap with an integrated model control environment that lets institutions plug in any credit risk model in its original form, govern it centrally, and produce regulatory-grade outputs instantly, without rebuilding the workflow every time a model moves.
Risk teams should be able to move from model change to a governed output, instantly. They need a single governed pipeline that turns a model update into a documented, reportable result the moment it happens, not a faster spreadsheet.
Bring Your Own Model: Flexible Model Plug-In
The model works; it is getting it live that is usually the problem. Models built in Python or R sit in isolated environments, disconnected from the platform that produces regulatory outputs. Each new model, or each recalibration of an existing one, means another round of bespoke integration work before it ever touches a governed process.
The .NXT Platform removes that step with a flexible modeling framework: connect any credit risk, liquidity, or behavioural model directly — regardless of whether it was built in Python, R, or any other formats. Models slot into a single governed environment without custom integration work for each one.
Every model that enters the platform runs through the same standardized orchestration: consistent input and output schemas, audit-ready process logs, and no shadow Excel or version drift creeping back in. Whether a risk team is running one model or twenty across different risk domains, the plug-in architecture stays the same; connect, govern, run.
This is what “bring your own model” means in practice: risk teams keep their modelling approach and their preferred tools, and ElysianNxt supplies the governed framework that turns model output into regulatory-ready results. See how this plays out specifically for credit risk portfolios on the Credit Risk page, or how the single data layer every model draws from works on Data.NXT.
Scenario Testing and Real-Time Impact Simulation: Full Integration with Risk and Regulatory Calculators
A model only matters once it’s connected to the calculators that turn it into capital, provisions, and regulatory output. That connection is where most institutions lose time: a model changes, and turning it into a governed RWA figure, ECL number, or regulatory report becomes a separate project that requires a rebuild, a reconciliation, a wait.
The .NXT Platform fully integrates models with calculators – treating the models and the calculators as one continuous pipeline. What that looks like depends on where the model sits:
- A regulatory-driven IRB recalibration, such as a PD model updated after a supervisory finding, has its impact reflected in RWA and ECL immediately, not weeks later.
- Stress-tested models under ICAAP run against the same RWA and ECL calculators as base models, but with far more in flux, they need a flexible execution framework connected to those calculators rather than a fresh integration each cycle.
- Climate stress test models: often highly experimental models that evolves, which means they need to connect into the same governed pipeline without waiting for a mature, stable build.
- Behavioural models feed directly into liquidity and IRRBB calculators.
- Pricing models, usually built internally, connect to market risk calculators the same way.
This same integration is what powers stress testing and scenario analysis. Configure a scenario, run it instantly against the live model, and the output (an RWA figure, an ECL number, a liquidity or market risk impact) inherits the same audit trail as production results. Multiple scenario configurations run side by side with a clean differentiation across outputs, so a risk team sees the downstream effect of a change before it’s approved. There’s no handoff between “the model changed” and “the report is correct“; both come out of the same governed pipeline.
Model Governance, Versioning, and Audit Trail
Getting a model approved, accredited, and into production is usually the slowest part of the whole process, not because the modelling is hard, but because governance sits outside the workflow instead of inside it. A registry, a sign-off log, and a version history someone maintains manually in a shared drive: none of it lives where the model actually runs, so none of it moves at the same speed the model does.
The .NXT Platform builds governance into the model approval and go-live lifecycle itself. Every model that enters the platform is registered, and every change to it (a parameter tweak, a recalibration, or a full rebuild) runs through the same approval workflow before it touches production, so accreditation isn’t a separate process bolted on afterward. Every model version is tracked, stored, and retrievable. If a regulator or an internal model risk committee asks what changed, when, and who approved it, the answer is a lookup, not a reconstruction project.
This is what makes the integration described in the previous section trustworthy: every regulatory number or scenario result traces back to a model version that was actually approved to produce it.
Methodology gets a model built. Turning that methodology into a governed output, instantly, is what makes it powerful.
Bank Mandiri: Automating Credit Risk Reporting
Discover how Bank Mandiri transformed its readiness for what-if scenarios in unprecedented time through hosting the bank’s internal credit risk models on the .NXT Platform.
