FRTB Implementation

The decision between the FRTB standardised approach and internal models is one of the most fundamental strategic choices in the FRTB implementation process, with far-reaching implications for capital requirements, resource deployment and operational complexity. ADVISORI supports financial institutions with a comprehensive, fact-based decision framework that takes all relevant dimensions into account. ADVISORI's comprehensive decision-making approach: Quantitative capital impact analysis: Conducting detailed simulations to calculate capital requirements under both approaches based on historical portfolio data and stress scenarios, taking into account diversification effects and NMRF surcharges. Cost-benefit analysis: Comprehensive assessment of the implementation and operating costs of both approaches relative to the potential capital benefits, taking into account existing system landscapes and resource capacities. Trading desk optimisation: Development of optimal desk structuring concepts that meet regulatory requirements while maximising capital efficiency, with identification of desks particularly suited to internal models. Forward-looking scenario analysis: Assessment of the long-term implications of both approaches, taking into account future business strategies, portfolio developments and potential regulatory changes.

The FRTB standardised approach (SA), despite its apparent simplicity compared to internal models, presents significant implementation challenges. Its complex calculation methodology, extensive data requirements and the need for efficient calculation processes require a structured approach with a focus on specific success factors. Critical success factors for FRTB SA implementation: Data management excellence: Implementing a solid data management framework is fundamental to the FRTB SA. This includes ensuring complete market and position data, consistent risk factor mappings and end-to-end data lineage for audit and validation purposes. Efficient sensitivity calculation: Developing performant and accurate processes for calculating thousands of sensitivities (delta, vega, curvature) across the entire trading book is critical for the daily capital calculation under the standardised approach. Optimised aggregation logic: The correct implementation of complex aggregation rules with different correlation scenarios and diversification effects requires both methodological understanding and efficient calculation algorithms. Flexible reporting infrastructure: Building an adaptable reporting architecture that meets both internal management information needs and regulatory requirements, and enables granular analysis at various levels.

The P&L Attribution Test (PLAT) represents one of the most demanding components and most common pitfalls in the implementation of internal models under FRTB. Its stringent requirements for explaining the differences between front office and risk P&L require far-reaching methodological, data-related and process-related adjustments. ADVISORI has developed a specialised approach based on numerous successful PLAT implementations. Integrated PLAT implementation approach: Comprehensive analysis of P&L sources: Systematic identification and categorisation of all P&L components in front office and risk systems, with detailed analysis of valuation methods, market data usage and risk factor modelling. End-to-end process design: Development of a solid, automated process for daily P&L calculation, attribution and test execution, with clear responsibilities, timelines and quality assurance measures. Methodological harmonisation: Targeted alignment of valuation methods between front office and risk management, taking into account the specific desk characteristics and product complexity. Technical integration: Implementation of an integrated technical solution connecting front office and risk systems, enabling consistent, granular P&L calculation and attribution.

Non-Modellable Risk Factors (NMRFs) represent one of the most complex and potentially costly components of FRTB implementation for internal models. The stringent regulatory requirements regarding the availability of 'real' market data and the significant capital surcharges for non-modellable risk factors require a strategic and methodologically sound approach to NMRF treatment. Key challenges in the NMRF context: Data quality and availability: The regulatory criteria for modellability (RFET – Risk Factor Eligibility Test) require at least

24 'real' price observations per year with maximum gaps of one month, which is barely achievable for many risk factors in illiquid markets or for exotic products. Complex identification and mapping processes: The precise identification of all relevant risk factors and their consistent mapping between trading positions, market data and risk models presents a methodological and technical challenge. Complex capital calculation: The calculation of the stress test surcharge for NMRFs requires complex calibration methods and computationally intensive stress tests for each non-modellable risk factor.

Integrating the FRTB framework into existing front office and risk management systems represents one of the most complex technical challenges of FRTB implementation. The regulatory requirements, particularly for internal models, demand an unprecedented level of harmonisation between trading and risk management systems, which traditionally use different valuation methods, data sources and processes. ADVISORI's comprehensive integration approach: System landscape analysis: Comprehensive assessment of the existing system architecture, data flows and interfaces between front office and risk management systems to identify integration points and optimisation potential. Target operating model development: Design of a future-proof operating model for the integrated front-to-risk landscape under FRTB, with clear data flows, responsibilities and governance structures. Phased implementation strategy: Development of a phase-based approach to gradual integration that prioritises quick wins while ensuring long-term transformation without disrupting ongoing operations. Harmonisation concept: Development of a strategy for methodological and data-related harmonisation between trading and risk valuation, with a specific focus on the requirements of the P&L attribution test.

The implementation of the FRTB regulatory framework confronts banks with unprecedented technological challenges that are difficult to address efficiently using conventional approaches. The enormous volumes of data, complex calculations and stringent time requirements call for effective technological solutions, which ADVISORI deploys specifically in FRTB implementation projects. Impactful technologies for FRTB: Cloud-based calculation infrastructure: Implementation of elastic cloud solutions for FRTB calculations that can scale on demand to handle the intensive computational requirements of the Expected Shortfall model, NMRF stress tests and sensitivity calculations, while optimising costs through pay-as-you-go models. Advanced analytics and machine learning: Use of advanced analytical methods to optimise FRTB implementation, from automated identification of risk factor mappings and modellability assessments to predictive analysis of potential P&L attribution issues and automated outlier detection. In-memory computing: Use of in-memory database technologies for real-time processing of large data volumes, particularly for critical processes such as daily capital calculation, P&L attribution and sensitivity determination, which require fast access times and complex queries.

The structuring of trading desks represents a fundamental strategic decision in the FRTB implementation process, with significant implications for capital requirements, operational efficiency and the likelihood of model approval. FRTB defines, for the first time, strict regulatory requirements for trading desk definition, delineation and approval, necessitating a fundamental review and potential restructuring of the existing trading organisation. Core elements of FRTB-compliant desk structuring: Regulatory compliance analysis: Detailed assessment of the existing trading desk structure against the specific FRTB requirements, particularly regarding clear strategies, separate P&L reporting, dedicated trader teams and consistent risk management structures. Capital-optimised desk configuration: Development of a desk structure that minimises capital requirements under FRTB through strategic grouping of trading positions, taking into account diversification effects, modellability aspects and P&L attribution requirements. Operating model integration: Alignment of the trading desk structure with the overarching target operating model to ensure efficient implementation and minimise organisational friction. Flexible documentation structure: Development of comprehensive, consistent.

FRTB implementation represents not only a regulatory challenge for banks, but also a strategic opportunity for the comprehensive modernisation and transformation of their market risk infrastructure. A forward-looking approach can generate significant strategic advantages beyond pure compliance and sustainably strengthen the institution's competitiveness. Impactful dimensions of FRTB implementation: Technological modernisation: Using FRTB requirements as a catalyst for renewing outdated risk management systems and introducing modern technologies such as cloud computing, advanced analytics and API-based architectures that not only meet regulatory requirements but also improve scalability, flexibility and cost efficiency. Data management transformation: Transforming data management from an operational by-product into a strategic asset, through the implementation of advanced data architectures, governance structures and quality management processes that create value for the entire institution beyond FRTB. Organisational integration: Overcoming traditional silos between trading, risk management and finance through the development of integrated operating models, shared objectives and collaborative ways of working that not only meet regulatory requirements but also increase organisational efficiency and agility.

The model approval process for FRTB internal models (IMA) represents a complex, resource-intensive and critical path in FRTB implementation. The regulatory requirements are exceptionally stringent and comprehensive, and the approval process requires careful preparation, extensive documentation and in-depth interaction with supervisory authorities. Core elements of the FRTB model approval process: Comprehensive desk documentation: Development of detailed documentation for each trading desk to be qualified for internal models, with precise descriptions of strategy, organisation, risk factors, models and risk management processes. Backtesting framework: Implementation and documentation of a solid backtesting framework at desk and risk factor level that meets regulatory requirements and demonstrates historical performance. P&L attribution test environment: Establishment of a comprehensive test environment for P&L attribution that delivers consistent and traceable results and meets stringent regulatory requirements. NMRF treatment: Development and documentation of a methodologically sound and data-supported identification, assessment and capitalisation of non-modellable risk factors. ADVISORI's strategic approach to model approval: Gap analysis.

Optimising capital requirements under FRTB represents a central strategic challenge for banks, as the new regulations can lead to significant capital increases. An effective capital optimisation strategy requires a comprehensive approach that integrates methodological, data-related, organisational and business-strategic aspects. Strategic capital optimisation approaches: Model mix optimisation: Development of an optimal combination of internal models and the standardised approach at trading desk level, based on detailed capital impact simulations, modellability analyses and operational cost-benefit assessments. Portfolio restructuring: Strategic adjustment of trading activities and portfolio composition to reduce capital-intensive positions, with particular focus on illiquid instruments, exotic derivatives and positions with a high NMRF proportion. Desk structure optimisation: Redesign of the trading desk structure to maximise diversification effects and minimise capital-intensive risk concentrations, taking into account regulatory requirements and operational efficiency. Risk factor taxonomy optimisation: Development of a regulatory-compliant but capital-efficient risk factor taxonomy that maximises modellability while preserving methodological integrity. Data and methodology-based optimisation approaches: Data.

The FRTB regulation introduces comprehensive new disclosure and reporting requirements that represent a significant expansion and deepening of existing market risk reporting. These requirements affect both external disclosure (Pillar 3) and regulatory reporting to supervisory authorities, and require significant adjustments to data infrastructure, calculation processes and reporting systems. Comprehensive FRTB reporting preparation: Regulatory requirements analysis: Detailed analysis and preparation of all FRTB-specific disclosure and reporting requirements, including Pillar

3 templates, regulatory reporting requirements and internal management information needs. Gap analysis of reporting infrastructure: Systematic assessment of existing reporting systems, data sources and processes compared to FRTB requirements, with precise identification of gaps and adjustment needs. Integrated reporting target model: Development of a comprehensive target state for the FRTB-compliant reporting landscape, covering both regulatory compliance and internal management requirements, enabling efficient, consistent and flexible reporting. Implementation roadmap: Creation of a detailed, prioritised implementation plan for adapting the reporting infrastructure, with clear milestones, dependencies and resource planning, aligned with regulatory deadlines and the overall implementation strategy.

Integrating FRTB requirements into the existing risk management framework requires a far-reaching transformation that goes well beyond technical adjustments. A successful integration must encompass methodological, process-related, organisational and cultural aspects while ensuring consistency with other risk areas and regulatory requirements. Comprehensive integration approach: Framework gap analysis: Comprehensive assessment of the existing market risk framework with regard to FRTB requirements, with a focus on methodologies, limit structures, escalation processes, reporting and governance structures. Integrated target operating model: Development of a future-proof target state for market risk management under FRTB, smoothly integrated into the bank's overarching risk management framework, defining consistent processes, responsibilities and control mechanisms. Phased transformation strategy: Design of a phase-based approach to the gradual integration of FRTB requirements, ensuring operational stability while guaranteeing the timely implementation of regulatory requirements. Cross-risk consistency: Ensuring methodological and process-related consistency between FRTB market risk and other risk areas such as credit risk, liquidity risk and operational risk, particularly at interfaces and in cross-cutting processes.

The successful implementation of FRTB requires not only technical and methodological adjustments, but also comprehensive change management that addresses the organisational, process-related and cultural aspects of the transformation. The complexity and depth of the FRTB changes make structured and strategic change management a critical success factor. Comprehensive change management approach: Stakeholder-centred design: Development of a change management approach that systematically takes into account and addresses the needs, concerns and motivations of all relevant stakeholder groups – from traders and risk managers to C-level management. Integrated transformation planning: Alignment of the change management plan with the technical implementation roadmap to ensure synchronised development of systems, processes, organisational structures and competencies. Cultural change focus: Targeted promotion of the cultural changes required for a successful FRTB implementation, particularly regarding closer collaboration between front office and risk management, increased data discipline and risk-conscious behaviour. Sustainability orientation: Aligning the change management approach not only towards the initial implementation, but towards the long-term, sustainable embedding of FRTB principles and practices within the organisation.

Data governance and data quality management represent fundamental success factors for FRTB implementation. The stringent regulatory requirements for data accuracy, completeness and consistency – particularly in the context of modellability assessment, P&L attribution and risk factor identification – require a solid and comprehensive data management framework. Critical data challenges under FRTB: Extensive market data requirements: FRTB requires an unprecedented volume and quality of market data, particularly for assessing the modellability of risk factors (RFET), with specific requirements regarding the number and distribution of 'real' price observations. Data integration across silos: The regulatory requirements, particularly for the P&L attribution test, require smooth integration and consistency of data from various sources, especially between front office and risk management systems. Historical data and time series management: FRTB requires long historisation periods for backtesting and calibration purposes, presenting significant challenges for data storage, accessibility and consistency over time. Granular data attributes: The detailed requirements for risk factor taxonomies and mappings require a high degree of granularity and precision of data attributes for all trading activities and market data.

FRTB implementation presents specific challenges for different product classes and markets that must be addressed individually. ADVISORI has in-depth expertise in applying FRTB requirements to various product and market segments and supports banks with tailored approaches that take into account the particularities of each segment. Product-specific implementation approaches: Fixed income and interest rate products: Development of optimised approaches for the complex challenges in the interest rate area, particularly regarding granular risk factor modelling, yield curve construction and basis risk treatment under FRTB SA and IMA. Equities and equity derivatives: Implementation of efficient methods for treating equity risks under FRTB, with particular focus on the specific requirements for dividend risks, volatility surfaces and correlation risks. Foreign exchange and FX derivatives: Optimisation of FRTB implementation for FX products, taking into account the specific challenges in modelling volatility surfaces, correlations between currency pairs and liquidity horizons. Credit products: Development of specialised approaches for the FRTB treatment of credit.

FRTB implementation offers banks a strategic opportunity to comprehensively improve and modernise their market risk management practices. Beyond pure regulatory compliance, institutions can achieve significant improvements in risk transparency, decision-making processes, efficiency and competitiveness through a forward-looking approach. Improved risk transparency and understanding: Granular risk factor analysis: Use of the detailed risk factor taxonomies and modelling developed for FRTB to gain deeper insights into the fundamental drivers of market risks and their interdependencies. Enhanced stress testing capabilities: Development of advanced stress testing capabilities built on FRTB requirements, enabling a more comprehensive and differentiated analysis of extreme scenarios and their implications. Improved risk sensitivity: Use of the increased granularity and differentiation of FRTB risk measures to develop more precise, risk-sensitive control mechanisms that respond better to specific risk drivers and concentrations. Consistent front-to-risk view: Use of the integration between front office and risk perspectives required for FRTB to create a unified, consistent understanding of risks and returns across all levels of the organisation.

FRTB implementation has far-reaching implications for the long-term business strategy and business model of banks, going well beyond pure technical and methodological implementation. The changed capital landscape, new operational requirements and increased transparency require a fundamental reassessment of strategic priorities and business orientations. Strategic realignment of trading activities: Product and portfolio rationalisation: The differentiated capital treatment of various products and risk factors under FRTB leads to a strategic review and potential rationalisation of the product range, with a focus on capital-efficient offerings and reduction of capital-intensive, complex or illiquid products. Client-oriented vs. proprietary trading activities: The increased capital requirements and operational costs lead to a reassessment of the optimal balance between client-oriented trading activities and proprietary trading, with a potential shift towards more stable, client-driven business models. Regional and market segment strategies: The different implications of FRTB for various markets and regions, particularly regarding data quality and risk factor modellability, lead to a strategic review of regional presences and market segment focuses.

A future-proof FRTB implementation requires effective technological approaches and a flexible, flexible IT architecture that not only meets current regulatory requirements but also anticipates future developments and business requirements. ADVISORI recommends a combination of strategic architecture principles and specific technological innovations. Forward-looking architecture principles: Modular, service-oriented architecture: Implementation of a modular architecture based on loosely coupled, reusable services that can be independently developed, tested and scaled, and flexibly adapted to changing regulatory and business requirements. Event-driven design: Use of event-based architecture patterns for FRTB implementation, enabling asynchronous processing, better scalability and more flexible integration between various components, and supporting reactive systems. API-first strategy: Consistent application of an API-first approach, in which all functionalities are made available via clearly defined, versioned and documented APIs, ensuring flexibility, interoperability and future extensibility. Domain-driven design: Structuring the FRTB solution architecture along clearly defined business domains with explicit bounded contexts and interfaces, reducing complexity, increasing business comprehensibility and improving adaptability to regulatory changes.

Ensuring long-term FRTB compliance beyond the initial implementation requires a strategic, sustainable approach that enables continuous adaptation to regulatory changes, market developments and internal business requirements. ADVISORI supports financial institutions with a comprehensive framework for sustainable FRTB compliance. Continuous compliance assurance: Regulatory change management: Establishment of a structured process for the systematic capture, analysis and implementation of regulatory changes and interpretation clarifications in the FRTB context, with clear responsibilities, prioritisation mechanisms and impact assessment methodologies. Compliance monitoring framework: Development of a comprehensive monitoring system for continuous oversight of FRTB compliance at various levels – from individual desks through model components to overarching processes – with automated controls, KPIs and alerting mechanisms. Integrated test environment: Implementation of a permanent, integrated test environment for FRTB components, enabling continuous validation, what-if analyses and advance testing of changes without affecting production systems. Solid change control process: Establishment of a solid change control process for all FRTB-relevant systems, models and processes, balancing regulatory compliance requirements, technical stability and business flexibility.

ADVISORI has extensive experience from numerous FRTB implementation projects at leading financial institutions worldwide. These practical experiences have led to valuable insights and best practices that we integrate into our advisory approaches and share with our clients. Critical success factors from practice: Early strategic positioning: Our experience shows that institutions that position FRTB early as a strategic initiative rather than treating it as a pure compliance project achieve significantly better results – both in terms of implementation efficiency and long-term business benefits. Integrated transformation approach: Successful FRTB implementations are characterised by an integrated approach that addresses technical, methodological, process-related and organisational aspects equally and systematically takes their interdependencies into account. Top management commitment: Active support and clear prioritisation by top management has proven to be a decisive success factor, particularly for overcoming departmental boundaries and ensuring adequate resources. Realistic expectation management: Institutions that establish realistic timelines, resource requirements and complexity assessments from the outset achieve their objectives with less friction and higher quality than those with overly optimistic planning.