Risk controlling, backtesting and validation for CRR/CRD-compliant banking institutions

Risk Steering & Model Validation

We support banks in building effective risk steering and validation processes: from limit systems and risk-bearing capacity to independent model validation under MaRisk AT 4.3.5.

  • Independent model validation under MaRisk AT 4.3.5 and CRR/CRD
  • Design and optimization of limit systems and risk appetite frameworks
  • Backtesting and stress testing across all risk categories
  • Strengthened risk-bearing capacity and capital efficiency

Your strategic success starts here

Our clients trust our expertise in digital transformation, compliance, and risk management

30 Minutes • Non-binding • Immediately available

For optimal preparation of your strategy session:

  • Your strategic goals and objectives
  • Desired business outcomes and ROI
  • Steps already taken

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How do you steer risks effectively and validate your models?

Expert Tip

Under the 7th MaRisk amendment (AT 4.3.5), all institutions must establish systematic model risk management — including a model inventory, validation strategy and independent validation function. Act now before audit findings force implementation.

ADVISORI in Numbers

11+

Years of Experience

120+

Employees

520+

Projects

We combine regulatory depth with business impact — from gap analysis through to ongoing model monitoring.

Our Approach:

Gap analysis of your risk steering processes against CRR/CRD and MaRisk AT 4.3.5

Building the model inventory and risk classification of all models

Design and calibration of limit systems and risk appetite frameworks

Conducting independent model validations with backtesting and benchmarking

Implementing ongoing model monitoring and validation governance

Melanie Düring

Melanie Düring

Head of Risk Management

Our Services

We offer you tailored solutions for your digital transformation

Risk Steering & Limit Systems

We support you in building an effective risk steering process — from risk-bearing capacity calculation and limit derivation through to ongoing risk controlling.

  • Risk-bearing capacity concept and capital planning (ICAAP/ILAAP)
  • Building consistent limit systems for all material risk categories
  • Definition and operationalization of the risk appetite framework
  • Establishing early warning indicators and escalation processes

Model Validation & Backtesting

We provide independent validation services for your risk models — methodologically sound, regulatory-proof and with clear action recommendations.

  • Initial and re-validation of internal models under MaRisk AT 4.3.5
  • Backtesting frameworks for VaR, PD/LGD/EAD and stress test models
  • Building the model inventory and model risk management function
  • Validation reports with concrete improvement recommendations

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Our Areas of Expertise

Our expertise in managing regulatory compliance and transformation, including DORA.

Frequently Asked Questions about Risk Steering & Model Validation

What does risk steering encompass under CRR/CRD and why is it critical for banks?

Risk steering under CRR/CRD refers to the entire process by which a bank identifies, limits and actively manages its risks. This includes deriving risk limits from risk-bearing capacity, monitoring those limits in day-to-day business, and escalating when limits are breached.

Core elements of risk steering:

Risk-bearing capacity concept (ICAAP/ILAAP) as the basis for limit derivation
Limit systems for credit, market, liquidity and operational risks
Risk appetite framework with clearly defined tolerance thresholds
Early warning indicators and traffic light systems for proactive risk management
Regular reporting to the management board and supervisory board

Without functioning risk steering, banks face capital add-ons in the SREP process, BaFin special audits and ultimately restrictions on business activities.

What requirements does MaRisk AT 4.3.5 place on model validation?

The new MaRisk module AT 4.3.5 on the use of models requires all institutions to establish systematic model risk management. The requirements include:

Complete model inventory: All models used must be recorded, classified and assessed by materiality.
Independent validation function: Validation must be organizationally separated from model development, with its own reporting line.
Initial validation and regular re-validation: Every model must be validated before productive use and then re-examined at risk-appropriate intervals.
Documentation: Model assumptions, limitations, validation results and remedial actions must be fully documented.
Data quality assurance: The quality of input data must be systematically reviewed and monitored.

A particular challenge: Models based on machine learning are also subject to these requirements, which brings additional explainability demands.

How do you build an effective limit system for a bank?

An effective limit system translates risk-bearing capacity into operational control metrics. The process follows four steps:

1. Define risk appetite: Determine maximum risk tolerance at the overall bank level, derived from capital planning and business strategy.

2. Limit allocation: Distribute the total risk budget across risk categories, business lines and individual limits — consistently across all management levels.

3. Monitoring and escalation: Establish ongoing limit monitoring with defined traffic light levels (green/amber/red) and binding escalation processes when limits are approached or breached.

4. Feedback loop: Regularly review limit utilization and adjust allocations to changing market conditions and business strategies.

Consistency between risk-bearing capacity, risk appetite and the limit system is critical — gaps regularly lead to SREP findings.

What is backtesting and what role does it play in model validation?

Backtesting compares a risk model's predictions against actually realized losses and is the central quantitative tool of model validation.

Application areas:

VaR models: Comparing predicted Value-at-Risk figures with actual P&L fluctuations (clean and dirty backtesting)
Credit risk models: Testing PD forecasts against realized default rates across rating classes
Stress test models: Plausibility checks of stress scenarios using historical crisis periods

Regulatory requirements for backtesting:

CRR requires at least 250 trading days observation period for market risk backtests
A traffic light system (green/amber/red) per Basel standards evaluates model quality
Too many exceedances trigger increased capital requirements (multiplier surcharge)

Backtesting alone is not sufficient: it must be supplemented by sensitivity analyses, benchmarking and qualitative assessment.

How does better risk steering improve capital efficiency?

More precise risk steering directly impacts capital efficiency because less unused capital buffer needs to be held:

More accurate risk measurement: Refined models reduce uncertainty add-ons in capital calculations and lower risk-weighted assets (RWA).
Optimized limit allocation: Risk-adjusted allocation of the risk budget directs capital to high-yielding business areas.
Better collateral valuation: More accurate LGD estimates reduce capital requirements in lending.
Fewer SREP add-ons: Institutions with demonstrably robust risk steering receive lower Pillar 2 surcharges.

In practice, institutions with optimized risk steering achieve capital ratio improvements of 50 to 200 basis points — without needing to raise additional capital.

What is the difference between risk controlling and risk steering?

Risk controlling and risk steering are two closely linked but distinct functions in a bank's risk management:

Risk controlling encompasses:

Risk identification and measurement using quantitative methods
Regular risk reporting to the management board and executive committee
Monitoring of limit compliance and early warning indicators
Provision of risk analyses as a basis for decision-making

Risk steering encompasses:

Setting risk appetite and risk strategy
Deriving and allocating risk limits
Active measures for risk limitation (hedging, diversification, risk reduction)
Strategic decisions on risk assumption

MaRisk requires organizational separation of both functions from the risk-taking business. In practice, however, both areas work closely together to ensure an end-to-end risk steering chain from risk appetite down to individual positions.

How does ADVISORI support risk steering and model validation?

ADVISORI supports banks and financial services firms across all aspects of risk steering and model validation — from strategic design to operational implementation:

Gap analysis: Systematic review of your risk steering processes against CRR/CRD, MaRisk AT 4.3.5 and supervisory expectations.
Limit system design: Building consistent limit systems with pass-through from risk appetite to individual positions.
Independent model validation: Initial and re-validation of your risk models by certified experts using backtesting, benchmarking and sensitivity analyses.
Model risk management: Building the model risk management function including model inventory, validation strategy and governance structure.
Training and knowledge transfer: Enabling your staff to independently conduct validations and risk controlling tasks.

Our consultants have years of experience in banking regulation and have successfully delivered risk steering and validation projects at institutions of all sizes.

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Is your organization ready for the next step into the digital future? Contact us for a personal consultation.

Your strategic success starts here

Our clients trust our expertise in digital transformation, compliance, and risk management

Ready for the next step?

Schedule a strategic consultation with our experts now

30 Minutes • Non-binding • Immediately available

For optimal preparation of your strategy session:

Your strategic goals and challenges
Desired business outcomes and ROI expectations
Current compliance and risk situation
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