We work at any point in the lifecycle of a model — specifying the data, developing the model, validating it independently, documenting it for a supervisor, or reviewing how the decisions it drives are actually working in the business.
Engagements can cover a whole project cycle, from design and data quality analysis through development, implementation, validation and ongoing maintenance — or just the part you need. Nothing is templated: each project is scoped for the portfolio, the regulatory context and the team who will own the result.
We work from Athens with banks, credit institutions and other lenders in Greece, Cyprus, Romania, Bulgaria and the wider South-Eastern Europe region, so the regulatory context of each engagement is a familiar one — whether the work is credit scorecard development, IFRS 9 and Basel IRB estimation or independent model validation.
Service group
Credit scoring & model development
Building the models, and testing whether they hold up.
Scorecard Development
Application, behaviour and customised bureau scores developed on your portfolio's own performance history. MetaScores combine several models into one measure of risk for multi-scoring environments.
Learn more ›Model Validation
Independent full, periodic and thematic validation of credit, IFRS 9, IRRBB and liquidity models. Aligned with the ECB's revised Guide to Internal Models and the EBA framework.
Learn more ›Propensity Models
Models that predict a customer action — conversion, response, attrition or churn — using machine learning or conventional approaches, whichever the implementation environment supports.
Learn more ›Service group
Regulatory, capital & IFRS 9 provisioning
Meeting what supervisors, standards and the AI Act require — with documentation that survives review.
AI Act Compliance
Credit scoring is a high-risk AI use case under Annex III of the EU AI Act. A structured validation framework across data, features, outcomes and oversight, with Annex IV technical documentation.
Learn more ›Supervision: Basel & IFRS 9
IRB support for retail portfolios since 2006 and IFRS 9 implementation since 2016 — PD, LGD and EAD estimation, lifetime and macroeconomic components, stress testing and capital calculation.
Learn more ›Portfolios Valuation
Independent valuation of retail portfolios for buyers or sellers — M&A due diligence, distressed asset sales and secondary market preparation. Bottom-up and top-down approaches.
Learn more ›Service group
Business analytics, MIS & training
Making the models and the data useful to the people running the business.
Consulting
Process optimisation across the retail credit cycle — business reviews, credit policy alignment, profitability analysis and a data-driven framework for restructuring decisions.
Learn more ›MIS Specification & Implementation
Reporting designed around the questions the business actually needs answered, for credit initiation, portfolio management and collections. Grounded in a review of data quality and relevance.
Learn more ›Training
Bespoke and open courses in retail credit risk, model development, SAS and machine learning with Python. Delivered as separate streams or combined for a single organisation.
Learn more ›FAQ
Frequently asked questions
StatDec develops, validates and governs the models financial institutions use to make decisions: credit scorecards, IFRS 9 and Basel IRB parameters, and propensity and behavioural models. Nine service lines cover the whole model lifecycle, from specifying the data and developing the model through independent validation and documentation to reviewing the decisions it drives.
StatDec is based in Athens and works with banks, credit institutions and other lenders in Greece, Cyprus, Romania, Bulgaria and the wider South-Eastern Europe region. The firm was formed in London in 1992 and is a member of the Tiresias group, the credit bureau of Greece.
Yes, and that is the usual case. As a specialist external validator StatDec satisfies the independence requirement under EBA/GL/2023/01 for institutions that need a third validation layer alongside internal validation and Internal Audit. Validation covers credit scoring and rating models as well as IFRS 9, IRRBB and liquidity models.
No. Delivery is IT-independent: models are handed over in a form your existing systems can implement, with no licence and no platform lock-in. For analytics engagements outside banking, StatDec can also run the analysis in its own systems and deliver the agreed metrics to the business at agreed intervals.
Yes. An engagement can cover a whole project cycle, from design and data quality analysis through development, implementation, validation and ongoing maintenance, or only the part you need. Nothing is templated: each project is scoped for the portfolio, the regulatory context and the team who will own the result.
With a conversation about the portfolio, the model inventory and the deadline, after which we set out what is worth doing and in what order. Every engagement concludes with a prioritised action plan, and reports are reviewed by more than one experienced professional before they reach the client.
Tell us what you are trying to decide
Most engagements start with a conversation about the portfolio, the model inventory and the deadline. We will tell you what is worth doing and in what order.
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