It’s time to make the right balance sheet management decisions. To optimize your risk/return profile and ease margin pressure, you need one system with eight key features.
7 BALANCE SHEET MANAGEMENT MUST-HAVES
Tip Sheet
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LET’S SOLVE MARGIN PRESSURE WITH ADVANCED ANALYTICS
For a truly strategic approach to managing your balance sheet, look no further than FIS® Balance Sheet Manager (formerly Ambit Focus). Get in touch to find out more.
A single, comprehensive balance sheet management platform will give your treasury, risk and finance teams a consistent framework for risk management and strategic decision making.
So whether you are running ad-hoc or fully automated IRRBB scenarios, analyzing your profitability with FTP, performing stress tests or regulatory calculations, you can rely on the consistency of the modelling, the calculated results and the comparability and transparency of the outputs.
A HOLISTIC FRAMEWORK
With a common set of tools for different functional areas, your bank can calculate and report on risk in the same way across asset liability management, interest rate, market and credit risk, funding and hedging decision support, liquidity management and regulatory metrics, as well as forecasting and stress testing.
While making ad-hoc analysis and balance sheet optimization processes faster and less costly, standardization also helps you collaborate and share or compare results.
Standardized tools
Advanced, easy-to-use formula modelling helps support comprehensive analysis and in-depth modelling when additional flexibility is required. Extend the models with any relevant drivers that impact risk and financial metrics – such as market factor dynamics, product or customer details, or portfolio-level dependencies – and multiple bank departments can leverage one tool for their needs. Look for a modelling framework with a user friendly interface that doesn’t require programming skills – that would help business users in their daily jobs and improve transparency of the models defined.
A toolbox that can support you with all behavioural, credit risk, new business and rate models – as well as built-in models to optimize your balance sheet – can help you go beyond just meeting regulatory IRRBB requirements.
FLEXIBILITY WHERE NEEDED
Intuitive interfaces and easy-to-use tools, designed with business users in mind, are key to supporting day-to-day risk management operations.
By implementing a flexible, user-oriented application for balance sheet management, you reduce the time and effort for solution onboarding, user training, routine reporting to regulators and ad-hoc internal analysis. Plus, you can move faster when adapting the system to future regulatory or business changes.
USER FRIENDLY TECH
A system that can scale vertically and horizontally while supporting dynamic load balancing allows you to accommodate peak complex calculations loads and growing data volumes.
With cloud-based managed services, you benefit from a flexible and secure environment for strategic balance sheet management and powerful risk analytics.
HIGH PERFORMANCE
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Access an analytical toolbox
Get in touch
Go beyond the minimums
Stay consistent
Align your functions
Encourage teamwork
Enhance efficiency
Save time
Increase flexibility
Advance analytics
Support growth
Ensure accuracy
Improve control
To accelerate ALM processes, business users need to have control of required data. Your solution’s data management layer should provide rich functionality for data stewardship, with integrated capabilities for data validation and correction, aggregation, transformation and enrichment. This will also help you meet the risk data aggregation requirements of BCBS 239 guidelines.
With all your calculations based on the same input data, you can rely on data integrity and consistency throughout your balance sheet management and risk management processes.
ROBUST DATA MANAGEMENT
Drive strategies
Support decisions
With the ability to simulate risk and performance metrics into the future and according to different scenarios, you are also in a stronger position to make sound ALM decisions and help steer the bank in a more profitable strategic direction.
The scenarios should be easy for you to define, while allowing incorporation of institution-specific models and enabling high-level, detailed setups as needed. To match regulatory and internal forecasting needs, the solution should be able to include external drivers such as market changes or client behavior, as well as the bank’s potential response, such as new business, pricing, hedging and funding strategies.
A STRONG SIMULATION ENGINE