We assist in Credit Analytics specializing in the development and validation of Credit Risk models. At Auriscon we draw on multiple model building techniques to ensure our customers in IRB model uses, Portfolio Credit Risk, Stress Testing and IFRS9 have access to specialized support. We have capacity to deliver end-to-end. We support across the stages: conceptualizing, model building, model testing, prototypical coding and documentation.
We too provide expert support model risk reviewing. At Auriscon, we have suitable expertise and we enable knowledge transfer based on in depth industry practice.For further details, feel invited to browse through an outline of supported activities summarized below. For inquiries on support towards a succesful project outcome contact us.
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Disclaimer: Data, charts and commentary displayed herein are for information purposes only and do not provide any consulting advice. No information provided in this documentation shall give rise to any liability of Auriscon HK Ltd and Auriscon Ltd.
Our Approach
We involve our clients throughout the model development and validation process, beginning from the initial concept proposal and an agreed terms of reference through to the final implementation phase. Team member of Auriscon Limited have the right expertise. We can support on-site or by working remotely based on flexible allocations.
- We confidentially deal with methodological concepts and analytical models.
- We draw on business insights to deliver tailored solutions.
- We advise on industry standards and point to emerging risks.
- Through our advising on methodology solutions and with our supporting in developing / validating credit risk models our clients can successfully manoeuvre a challenging regulatory and market environments.
Our Services in Credit Analytics
SCORING, IFRS-9 and BASEL RISK PARAMETER - DEVELOPMENT & VALIDATION
Development and Validation of Credit Risk Models, covering Application Scoring, IFRS9 ECL and Basel parameter estimation for PD, LGD and EAD Models.
BOOSTING CREDIT RISK MODEL PERFORMANCE
Evaluation and enhancement of credit model performance. Profitability driven Credit Analytics, to enable enhancing Credit Models through accounting for Profitability aspects and measures.
EVALUATING CREDIT PORTFOLIO RISK
Relying on Credit Portfolio Risk Models should be supported by insightful analytics, tools and data integrity. Auriscon supports in delivering exactly this. IFRS 9 Expected Credit Loss ECL, Economic Capital Models, Risk-adjusted performance for Credit Lending.
- Credit Loss Distributions.
- Segmentation of customer groups.
- Credit Portfolio Vulnerabilities.
STRESS TESTING
Model concepts and developments covering Scenario Planning, Factor Identification, and Economic Response based on modern methods e.g. Vector Autoregression.
MODEL RISK REVIEW
Review of Model concepts and developments incuding validations, regulatory compliance and model governance. Our support in reviewing model risk and compliance renders a suitable add-on insight.
Illustration of Consulting Support:
At Auriscon we can support on-site or by working remotely based on flexible allocations. We collaborate effectively with functional teams and stakeholders to assist in attaining the project goal. A few examples of how Auriscon can support your model development or validation projects are shown below for illustration.
OBJECTIVE
HOW
Boosting of PD / LGD Models in terms of performance and positive mpact on profitability.
- Alternative Data Sources to accommodate new significant credit drivers.
- Feature Engineering to identify better predictors.
- Profitability aspects.
- ML methods integared in Modelling and Models.
Example: Model Benchmarking
| Interpretabiliy | Accuracy | |
| Regression (logistic) | Good | Medium |
| Decision Tree | Very Good | Good |
| Boosted Tree | Poor | Very Good |
| Deep Learning | Poor | Very Good |
Validating IRB, IFRS9 and Scoring Models
Support on cyclical of PD, LGD, EAD Model validations.
Validation testing of Credit Model predictions (backtesting), performance and stability.
Benchmarking to challenger models.
Feedback on identified gaps in Model monitoring and on shortfalls to Regulatory expectations.
Identifying and quantifiying model risk related to root causes in model design, data, validation gaps, etc.
Elaborating on process ineffeciencies to match risk mitigation solutions to root causes.
Communicating review outcome and writing report on model risk review for internal use.
Detecting
- Model design limitations.
- Data limitations
- Calibration bias leading to alert on inadequate model outputs.
- Shortcomings in validations e.g. identifying overlooked themes and details.
- Gaps in compliance to regulatory requirements e.g. Credit Risk (SS 11/13), Capital & Stress Testing (SS 3/18).
Development and conceptual planning for Scenario Planning, Factor Identification, Economic Response based on modern methods.
Estimating & Calibrating
- Economic Response Model using Macro linkages. Example on Vector Autoregression (VAR) approach: → Read more
- Data Selection
- Scenario Selection.
Relying on Credit Portfolio models should be supported by insightful analytics, tools and data. At Auriscon, we support in deliver exactly this with our assistance.
Examining & Prototyping
- Credit Loss Distributions.
- Segmentation of customer groups.
- Credit Portfolio Vulnerabilities.
