Model Risk Management

For Financial Institutions

Secure your organization against model risks with domain-led, tech-enabled approach:

  • Credit modeling techniques
  • Advanced predictive analytics
  • Cloud-native data fabric

Manage Model Risks
Comprehensively

Our Model Risk Management (MRM) value stream covers the 1st and 2nd lines of defense, enabling robust and comprehensive protection for regional and super-regional banks, wealth and investment management companies, fintech players, mortgage and commercial lenders, insurance firms, and others.

We have expertise in Model Development, Model Documentation, Model Implementation, and Model Validation. Our MRM specialization spans Market forecasting, Credit scoring, Customer segmentation, Risk management, Anti-money laundering, Fraud detection, and Digital marketing.

Our Model Risk Management Services

Model Development
  • Data Collection and Preparation
  • Feature Engineering
  • Model Selection
  • Model Training
  • Model Evaluation
Documentation
  • Model Documentation
  • Data Documentation
Model Implementation
  • Integration with Systems
  • Model Testing
  • Model Deployment
Model Validation
  • Model Validation Plan
  • Validation Testing
  • Validation Documentation
  • Model Monitoring

Learn how our planned approach to Model Risk Management can help your financial institution.

Analytics Powered by Logic and Diligence

Tech-Powered Risk Oversight

Our advanced predictive analytics techniques utilize machine learning algorithms, enabling optimal labeling of the dataset through the stages of algorithm selection, hyperparameter selection, and model fitment.

We use techniques such as k-Fold Cross-Validation, Nested Cross-Validation, Time-Series Cross-Validation, Wilcoxon Signed-Rank Test, etc.

Conceptual Review

Evaluate the quality of model construction through a review of documentation and empirical observations.

System Validation

Review the technology used to support models and implement controls to address gaps and augmentation needs.

Data Authentication

Ensure validity of the data used for building the model. Assess data quality and accuracy to ensure optimal model training.

Model Testing

Test the model based on the model type and context. Conduct multiple tests to determine the performance in different scenarios.

Documentation

Interpret test results and prepare in-depth reports that outline key aspects of a model requiring intervention.

Why Anaptyss?
Our Key Differentiators in Model Risk Management

Domain Expertise

In-depth insights into financial profiles for better interpretation.

Accurate Modeling Techniques

Rapid and accurate risk modeling using industry-leading techniques.

Cloud Data Management

Improved security, flexibility, and scalability with cloud-based data management.

Scalable Solutions

Experienced consultants and domain experts enable rapid deployment and fast configuration.

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