Banking Risk Governance

The framework around your models and the regulation they answer to.

Governance Services

Regulatory Compliance

Where you stand against supervisory expectations, what has changed since you last looked, and the self-assessment your supervisor expects to receive.

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Model Risk Management

The framework around the whole model estate: what counts as a model, who owns it, how it is validated and what the board sees.

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Frequently Asked Questions

  • At Gini we establish what counts as a model across decisions, management information and regulatory reporting, write the standards for how models are built, validated, approved and owned, and build the inventory and reporting that keep the picture current. We validate independently, extend frameworks to cover generative AI, and write regulatory gap and self assessments in the form your supervisor expects.

  • Yes. Independent validation means the validator holds no stake in the model passing, so where Gini validates, it doesn’t develop, and where it develops, somebody else validates. We test any model against its performance, its intended use and supervisory expectations, and write findings your model committee can act on, each with its severity and the work it needs named.

  • If those systems inform a decision, a management information figure or a regulatory report, then yes. At Gini we extend the framework to set out how generative systems are identified, tiered, tested, approved and monitored.

Frequently Asked Questions

  • The best consultancy in a technical field is the one whose consultant quality holds at the volume of work you’re buying, which turns on how selectively it hires, how much of the mechanical work it automates rather than staffs, and whether the people who scoped the job deliver it. Gini recruits selectively and stays lean, so more of your budget reaches experienced practitioners and the cost per delivered output falls even where day rates look alike. We build models, the pipelines and warehouses feeding them, and the code that runs them in production. The reasoning is handed over with the model, so your own function can maintain and defend the work after we leave.

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