Consulting Designed Around You

Specialist analytics, delivered hands-on.
Decisions you can defend, and a team that owns the method.


We help banks, lenders, insurers and AI-ready businesses make defensible decisions through specialist analytics and hands on delivery.

IFRS 9, IRB, stress testing, credit strategy, data & AI adoption

Every solution is built for your data, not retrofitted from a template.

Every consultant is a hands-on specialist.

We provide the complete reasoning alongside every result.

Trusted by leading banks, building societies & regulated lenders

To succeed as a modern AI-ready institution you need an integrated approach

Risk Analytics

To ensure robustness and regulatory compliance

Data Science & AI

To build solutions for efficiency and scale

  • Regulatory modelling and governance
  • Regulatory documentation
  • Traditional credit risk models
  • Software engineering
  • Scalable model pipelines
  • Automation and efficiency
  • Modern analytical tooling
  • Faster deployment cycles
Risk Analytics
Data Science & AI

We hand-picked the rare talent that combines it all

Ready to join you immediately as risk management consultants

Rigorously selected talent

Through a highly deliberate selection process, we’ve secured the top practitioners capable of solving complex analytical problems.

Independent executors

Where others see imperfect data as an obstacle, our consultants apply tech-enabled critical thinking to build high-quality solutions with minimal oversight.

Always aligned to you

Our collaborative experts embed seamlessly into your team, working to your objectives and constraints with your senior stakeholders towards agreed outcomes.

Bringing to you a new set of eyes, via flexible engagement

Who we support

AI-Ready Businesses

Challenger banks

Building societies

FinTechs

Specialist lenders

Insurers

What they have in common

Heavy regulatory pressure, constrained internal analytics capacity, or rapid growth outpacing risk infrastructure.

How we support

Embedding talent into your team

Our consultants operate as an extension of your team, aligned to your governance, systems, and ways of working.

End-to-end project delivery

We take full ownership of analytical initiatives, managing delivery from initial scoping through build, documentation, validation, and handover.

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.

  • Risk analytics that has to survive scrutiny. At Gini we take on IFRS 9, IRB, stress testing and credit strategy for banks; pricing and reserving for insurers; the data platforms underneath; and the AI tools and training built on top. The common thread is that the work has to stand up, to your board, your regulator, or whoever inherits it.

  • Every consultant Gini puts on your engagement is a hands-on specialist and the work is built for your data rather than retrofitted from a template. You get the reasoning handed over, not only the results, so your team can maintain and defend the work after we leave.

  • At Gini, it means your team can rebuild what we built. We document the reasoning behind each modelling choice, walk your analysts through the code and the assumptions, and leave you understanding the solution. Continuity is the goal.

  • Both. Much of Gini’s work is with banks, building societies and fintechs of all sizes. However, smaller firms across all sectors often need the specialist depth more acutely, because they carry the same complex problems without a large internal modelling team.

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