RBI's MRM 2026 draft: independent validation is now expected for every model.

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Model Risk Management & Model Validation

Model Risk Management

Prepare for the Next Era of Model Risk Management

Independent Model Validation & Model Risk Management for Banks, NBFCs & Financial Institutions

Validate. Explain. Monitor. Govern.

Build AI and risk models that are not just accurate, but explainable, compliant and trusted across the entire model lifecycle.

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RBI-alignedFrameworks
DPDPReady
ConfidentialEngagement

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Trusted across India's leading financial institutions
SBI logo HDFC Bank logo Axis Bank logo Kotak Bank logo IDFC First Bank logo
500+
Models Validated
150+
BFSI Clients
3–4 Wk
Turnaround Time
100%
Confidential
Full Estate Coverage

Models We Validate

From classic scorecards to GenAI decision systems, with independent validation across every model type the 2026 framework now brings into scope.

Credit Scorecards
Underwriting Models
Behavioural Risk Models
Alternate Data Models
Fraud Detection Models
Portfolio Risk & Collections Models
Pricing & Decision Models
Third-party & AI Models
Why Think360

Why Leading Financial Institutions Choose Think360

Specialized Expertise

Deep domain and analytics expertise across credit risk, fraud, underwriting, alternate data and more.

Independent by Design

A dedicated validation team, walled off from our model-building units. As policy, we never validate models Think360 built, so your review stays truly at arm's length.

Comprehensive Coverage

End-to-end validation across all model types, techniques and the entire model lifecycle.

Backed by CAMS

Part of CAMS Group, India's largest financial infrastructure company.

Methodology

Our Comprehensive Validation Framework

Eight stages mapped directly to the 2026 draft's expectations: accuracy, explainability, fairness, robustness and governance.

Validated against the standards regulators trust  ·  RBI MRM 2026  ·  US Fed SR 11-7  ·  Basel / BCBS 239  ·  IFRS 9 / ECL
1

Data Assessment

  • Data quality
  • Leakage check
  • Representativeness
  • Outlier analysis
2

Performance Evaluation

  • AUC, KS, Gini
  • Rank Ordering
  • Bad Rate Analysis
  • Lift & CAP
  • Cut-off analysis, Calibration
3

Explainability Analysis

  • SHAP / LIME attribution
  • Black-box transparency thresholds
  • Feature importance
4

Fairness & Bias Assessment

  • Discriminatory bias probing
  • Demographic parity metrics
  • Regulatory fairness controls
5

Stability & Drift Analysis

  • PSI / CSI
  • Population drift
  • Concept drift
  • Trend analysis
6

Robustness Testing

  • Adversarial red-teaming
  • Stress & sensitivity analysis
  • Algorithmic edge-case probing
7

Governance Review

  • Kill-switch & override audit
  • Automation-bias safeguards
  • Policy & 10-yr inventory alignment
8

Recommendations

  • Recalibration
  • Cut-off adjustment
  • Redevelopment
  • Monitoring plan
Deliverables

What You Receive

Governance-ready outputs your Risk, Compliance and Audit teams can put in front of the Board and RBI, not just a scorecard report.

Independent Validation Report

Detailed report with methodology, results, risk rating and executive summary.

Executive Risk Dashboard

Visual dashboard of key metrics, trends and real-time model performance insights.

Explainability Report

SHAP/LIME insights with driver analysis and definitive black-box transparency mapping.

Bias & Fairness Assessment

Bias detection, demographic fairness metrics and proactive equity recommendations.

Stability & Drift Report

PSI/CSI analysis, data/concept drift trends and population stability assessment.

RMCB-Ready Governance Dossier

Boardroom-ready documentation tailored for the Risk Management Committee of the Board and RBI auditors.

Actionable Remediation Roadmap

Prioritized remediation, kill-switch guidance and continuous monitoring roadmap.

How We Engage

Engagement Models

Three ways to work with us, including a dedicated path for the 2026 draft's third-party accountability clause.

1

Complete Model Review

Full Access

Full access to model artifacts, source code and historical data for deep-dive, end-to-end white-box validation.

  • Champion / Challenger validation
  • Full recalibration assessment
  • Detailed feature analysis
2

Output Validation

Scored Data

Score outputs, backtesting and performance data-based validation for environments where code access is restricted.

  • Score performance & stability
  • Backtesting & benchmarking
  • Cut-off & policy impact analysis
3

Independent Vendor Validation

Third-Party Liability Shield

Strict independent validation of vendor and fintech models, ensuring complete compliance with RBI's absolute third-party liability clause.

  • Vendor model risk assessment
  • Black-box validation techniques
  • Risk & governance review

Your Models Power Critical Decisions.
Make Sure They Stand Up to Regulatory Scrutiny.

Independent Validation Responsible AI Regulatory Confidence