A German bank, part of a French-based multinational financial services company, was required to implement group-wide software for interest and liquidity risk monitoring and management. This initiative aimed to enhance regulatory compliance, ensure consistency across group entities, and improve financial performance through risk-informed decision-making.
Aspect Advisory was engaged to lead the project from technical implementation to liquidity and interest rate scenario modeling. Additionally, a Fund Transfer Pricing (FTP) model was developed to assess the profitability of various financial products, enabling the bank to make more data-driven pricing and capital allocation decisions.
OTT services play a critical role in facilitating international payments and cross-border transactions, yet inefficiencies in cost structures and operational workflows often lead to higher processing costs, reduced margins, and suboptimal pricing strategies. The objective of this initiative was to identify cost leakages, optimise the transactional process, and implement a sustainable cost-efficient framework for the bank’s OTT services.
Aspect Advisory worked in close collaboration with the client at both group and individual bank levels to ensure:
The implementation of the interest and liquidity risk management framework delivered tangible benefits in risk oversight, financial performance, and regulatory compliance.
1. The Critical Role of Liquidity & Interest Rate Risk Management in Banking
Effective liquidity and interest rate risk management is essential for:
Protecting profitability amid changing market conditions.
Ensuring compliance with regulatory liquidity standards (e.g., LCR & NSFR).
Optimising capital allocation strategies for long-term financial sustainability.
2. The Value of Fund Transfer Pricing (FTP) in Enhancing Profitability
A well-founded FTP model enables banks to:
Allocate funding costs accurately, ensuring transparency in financial product profitability.
Improve pricing strategies, making financial products more competitive.
Align internal pricing structures with risk and capital allocation objectives.
3. Future Trends in Liquidity & Interest Rate Risk Management
AI & Machine Learning for Risk Forecasting – Banks will increasingly adopt AI-driven models to predict liquidity shortfalls and interest rate risks.
Real-Time Risk Monitoring – Financial institutions will implement automated dashboards for live tracking of risk metrics.
Regulatory & Economic Integration – Liquidity management strategies will need to align not just with regulatory mandates but also with economic cycles and market fluctuations.
By implementing a comprehensive interest and liquidity risk management framework, Aspect Advisory enabled the German bank to achieve greater risk transparency, improve financial product profitability, and enhance compliance with group-wide and regulatory requirements.
The integration of advanced scenario modeling, FTP, and real-time liquidity monitoring tools ensures that the bank can proactively manage risks, optimise profitability, and maintain financial resilience in a dynamic economic environment.