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Financial Risk

What is Platform X - Model Risk Management?

Platform X | Model Risk Management is a comprehensive solution to assist in identifying & managing complex risks associated with various quantitative models. Through its easily customizable and flexible multi-layered architecture, it assures independence of quantitative model validation from model development and generates automated reports.

Model Inventory
and Tiering

One stop shop for accessing details pertaining to model specifications; tiering and inter-connectedness eases model governance challenges.

Data
Insights

Exploratory data analysis, anomaly detection and data impute algorithms enabled on platform help understand data, its anomalous or missing values and enhance the data.

Validation and
Monitoring

Automated model validation and monitoring platform with challenger model framework helps significantly reduce efforts and thereby the high cost involved in the manual process.

Documentation
and Reporting

Natural language processing enabled automated reports generated in custom templates for analysts, senior management and regulators reduce regulatory risks against inconsistent or inadequate reports.

Capabilities of Model Risk Management

Intelligent AI powered model validation & monitoring platform.

Model
Inventory

Monitro is designed to manage the entire model inventory and perform intelligent tiering required for validation rigor

AI/ML Challeger
Benchmarks

Ease of creation of model using AutoML feature that automatically builds challenger models using random forest, boosting, elasticnet, deep learning as well as automated model ensembling and hyperparameter tuning

Exploratory
Data Analysis

Automatic missing data pattern analysis and imputation using MICE package

Regulatory Compliance
and Reporting

Creates model validation documentation using custom formats for regulatory submissions and reviews

Validation and
Performance Analysis

Comprehensive coverage of model performance evaluation tests for discriminatory power, rank-ordering, calibration, benchmarking and stability of classification and regression models

Technical Features

At the core of the solution is an Enterprise R Analytics platform with the ability to quickly process and analyze large sets of data and generate automated, custom reports embedded with a smart narrative. Model Risk Management supports RDBMS as well as HDFS data stores and enables quick compute through Apache Spark. The solution uses a client-server architecture where the data compute and analytics are executed within the server managed by IT while the presentation layer is browser-based and complies with security and audit requirements.

Presentation Layer
  • Browser based Presentation Layer
Security
  • Encrypt traffic using SSL
  • Restrict client IP addresses
  • Security feature to prevent against Cross Site Reques Forgery (CSRF), Click-jacking, Cross Origin Resource Sharing (CORS) and other OWASP Top 10 vulnerabilities
Access Control
  • Assign user to user groups
  • Provide personalized data/report access to specific users or user groups
  • Password Management, in case of native authentication

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