“We were looking for a robust and centralized platform to manage our internal rating models.”
James Berrecloth
Head of Risk Infrastructure, Santander UK
Bank-Internal Risk Rating Platform
Configure, maintain and deploy internal credit scoring and ratings models, including PD models and LGD models, on a centralized risk rating platform.
Put Internal Risk Models into Action
Developing and validating internal credit risk models is only part of the challenge. Banks also need to operationalize, govern, and maintain these models efficiently across the organization. A dedicated risk rating platform provides a centralized foundation for executing PD, LGD and other rating models, making it easier to deploy changes, ensure consistent execution, and meet regulatory requirements.
Turn sophisticated internal models into scalable, governed processes for day-to-day credit risk assessment.
Implement Internal Models of Any Number and Level of Complexity
Banks and financial institutions are investing significant resources in the development and validation of internal models to assess credit risk, from Probability of Default (PD) models to Loss Given Default (LGD) models, to comply with IRB approaches and IFRS 9.
ACTICO’s internal ratings platform software lets banks and financial service providers deploy and integrate these models in a flexible, workflow-enabled, fully-auditable borrower risk rating application, without lengthy IT implementation projects. It functions as a centralized credit risk assessment system for model execution and governance.
Key Capabilities
- Configure, test and document internal rating and scoring models with a graphical drag-and-drop editor
- Seamlessly integrate existing code or logic implemented in technologies such as Python, Java, SAS
- Integrated quality assurance and regression testing of models
- Ability to handle complex computational and decision-making logic
- Put the control over rating models in the hands of the business and risk management teams
- Powerful, user-friendly, web-based interface to capture qualitative and quantitative risk factors, with AI-powered data extraction and analysis
- Role and group-based override and approval workflows
- Dynamic rating search and task list management (e.g. time triggered, external data triggered)
- Manage client hierarchies and assign ratings within client groups
- End-to-end borrower and facility-level risk rating workflows, from data capture through approval, managed on a centralized risk rating tool This creates a structured credit workflow system from data capture through approval
- Centralized repository – store and manage all model versions in Model Hub
- Full traceability – track every change, including who made it, when and what changed
- Controlled collaboration – manage access, reviews and approvals with role-based controls
- Version & release management – compare versions, create releases, and deploy or roll back models
- AI with human oversight – AI agent changes follow the same versioning, review and approval process as any other model change
- Simulate and evaluate model versions against historical rating data
- Analyze the impact of model changes on a portfolio level (e.g. rating transition matrices)
- Perform portfolio-level analytics using built-in and extensible reports and dashboards
- Test proposed changes to your internal rating models (e.g. PD, LGD models) against historical portfolios before go-live, minimizing model risk
- Accelerate model development and updates with AI-supported modeling
- Use AI to support the creation, review and improvement of decision models
- Reduce manual modeling effort while keeping experts in control
- Support consistent, explainable and governed model development
Bank Internal Ratings – Frequently Asked Questions
What is a Probability of Default (PD) model, and does ACTICO’s platform support it?
A Probability of Default (PD) model estimates the likelihood that a borrower will fail to meet their debt obligations over a defined time horizon — typically one year. PD models are a core component of credit risk management under Basel IRB frameworks and IFRS 9 expected credit loss (ECL) calculations. Banks typically maintain multiple PD models for different borrower segments: corporate obligors, SME borrowers, financial institutions, and retail clients.
ACTICO’s Credit Risk Platform gives credit risk teams a graphical, no-code environment to configure, test, and deploy PD rating models. Whether your PD model is a statistical scorecard, an expert judgement-based rating system, or a hybrid combining financial ratios with qualitative overlays, the platform handles the full model lifecycle — from initial build and validation through to production deployment and ongoing monitoring.
What is a Loss Given Default (LGD) model, and is it supported on the same platform?
A Loss Given Default (LGD) model estimates the share of an exposure that a lender expects to lose in the event of a borrower default — after accounting for collateral recovery, workout costs, and the time value of money. LGD models operate at the facility level.
ACTICO’s Credit Risk Platform supports the implementation of both regulatory LGD estimates (for IRB approaches) and accounting LGD values (for IFRS 9 stage-specific loss calculations) — on the same centralized platform as your PD models, with full versioning, governance, and workflow capabilities.
Can we run both PD and LGD models on a single platform?
Yes. ACTICO’s Credit Risk Platform is designed as one centralized internal ratings platform for both PD and LGD models — as well as any other internal credit risk models your institution maintains. This eliminates the need for separate tooling across model types, reduces operational complexity, and ensures consistent governance and audit trails across your entire model portfolio.
Our models are implemented in Python and/or SAS. Do we need to re-implement our models?
No. The platform integrates seamlessly with existing model logic in other languages. Quantitative risk teams can continue working in their preferred modelling environment, while front-office analysts interact through a clean, web-based interface. There is no need for a lengthy reimplementation of the models.
How does the credit risk platform support banks in fulfilling regulatory requirements?
The platform is built to support the requirements of Basel IRB approaches and IFRS 9 expected credit loss calculations. This includes both regulatory capital estimates (e.g., IRB-compliant PD and LGD) and accounting-based estimates used in stage-specific IFRS 9 loss calculations. Full audit trails, model versioning, and role-based access controls are built in to support model governance requirements under these frameworks.
Can we test model changes before deploying them to production?
Yes. The platform includes simulation capabilities that allow teams to test proposed changes to PD, LGD, or other internal rating models against historical portfolios before go-live. This includes rating transition matrices and portfolio-level impact analysis — helping minimize model risk ahead of any new model release.
How does the platform handle model governance and versioning?
The platform uses a GIT-based central repository to store and manage all model versions, with full tracking of changes including timestamps and user IDs. Teams can create branches, tag versions, graphically compare model versions, and manage release and deployment workflows, with role-based and team-based access controls throughout.
Is the platform suitable for both credit risk teams and business/front-office users?
Yes. The platform is designed for both audiences. Risk model administrators use the graphical drag-and-drop modeler to configure and maintain rating models. Front-office analysts and relationship managers interact through a powerful, user-friendly web interface to capture qualitative and quantitative risk factors, submit ratings for approval, and manage their task lists.
Recognized throughout the industry.
ACTICO has consistently been recognized by customers and analysts as a leading provider of solutions for Compliance, Asset Administration, and Credit Risk Management, as well as Advanced Decision Automation Technology.
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