Credit Risk & IFRS 9
Defensible credit, impairment and provisioning decisions grounded in transparent analytical evidence.
Scientifique Analytics is a founder-led analytics consultancy with deep expertise in credit risk, IFRS 9, portfolio analytics, model governance and analytical decision systems. We help organisations turn complex data and models into practical, governed business decisions.
Our strongest established expertise is in financial services. The same disciplined analytical methods can support selected data-intensive industries when applied with the right domain context.
Available for African and international assignments
Four connected service groups cover the model, portfolio, implementation and monitoring questions that matter most to clients.
Defensible credit, impairment and provisioning decisions grounded in transparent analytical evidence.
Early visibility of portfolio movement and evidence that models remain stable, calibrated and fit for use.
Controlled analytical workflows that move models and monitoring beyond manual spreadsheet dependence.
Forecasts, segments and early-warning signals designed around a specific operating decision.
Our established delivery depth spans credit risk, IFRS 9, portfolio and collections analytics, model monitoring and governance across African financial-services environments.
Work is defined around observable changes in decisions, controls and operating processes.
Every case study clearly identifies its provenance and delivery status.
Employer-level credit-risk assessment combined with ongoing IFRS 9 impairment analytics, portfolio monitoring and model governance.
Read case studyIFRS 9 analytics combined with development of an operational collections solution that moved portfolio intelligence into collections activity.
Read case studyAn integrated loan-onboarding, lead-management and credit-decision environment connecting CRB and core banking systems through APIs.
Read case studyFour focused stages connect the business problem, analytical work, controls and ownership.
Frame the decision, interrogate the evidence and identify the constraints that matter.
Shape the analytical method, controls and implementation path around the operating reality.
Develop, test and document the model, workflow or decision tool with stakeholders involved.
Transfer knowledge, establish monitoring and make the solution sustainable beyond delivery.

More than 16 years across financial-services analytics, credit risk, quantitative modelling, portfolio management and analytical decision systems.
Client engagements are led directly by senior analytics expertise rather than being sold by a senior team and delegated entirely to junior delivery resources.
Practical analysis on risk, models and production delivery.
A model can be statistically sound and still fail when data, ownership, thresholds and operating processes are weak.
Read insightBring us the business question, model concern or operational challenge. We will help define a practical analytical route forward.