Oil & Gas Q3 2023 Insights
Banking & Capital Markets
Financial institutions have drastically changed over the last decade, driven by increased regulatory constraints and competition. Sia Partners assists its clients in coping with these transformations in order to improve their competitive advantages, flexibility, productivity and profitability.
Our expertise
Asset & Liability Management
Sia Partners has gained a reputable expertise in asset-liability management, both in liquidity and interest rate activities. We cover a wide range of ALM functions such as reporting production, process automatization, modeling, and global liquidity and interest rate risk management.
Our offers
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Second level ALM function for Risk Management
We assist financial institutions in setting up a second-level ALM function, which is capable of controlling and optimising the activity of the first-level ALM function thanks to its robust and efficient system (expertise, organisation, processes and IT tools).
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ALM Modelling in the Banking Sector
We support banks throughout the different lifecycle stages of their ALM models (requirement identification, model selection, calibration, back testing, documentation, audit), in the generation of interest rates scenarios, and also in the definition and implementation of the proper governance.
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Perspective on ALM: transformation and innovation
Offer new perspectives on tomorrow’s ALM in order to anticipate, prepare and accelerate industry transformation, in order to address the arising challenges facing ALM functions (greater responsiveness, operational efficiency, shared models, regulatory constraints, ALM functions’ attractiveness,…)
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Interest Rate Risk in the Banking Book management (IRRBB)
We assist financial services institutions in adapting their interest rate risk management systems and processes. In particular, to comply with current and future IRRBB regulatory requirements.
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Liquidity Management & Stress testing
Sia Partners helps financial institutions adapt their liquidity risk systems and processes, particularly to optimise scarce resource management or comply with current and future regulatory requirements.
