Risk Management

As part of our ecosystem of solutions and services we foster digital assets risk management core principals supported by talent and tools to enable a risk-based approach to view, learn and make well informed decisions 

Digital Assets are popular almost in every day business today, but the value proposition of the blockchain technology is not fully addressed nor realised in any useful sense. The enterprise value creation in the era of future of finance is only possible if the value can be risk assessed and mitigated with an appropriate risk strategy.  

With that said, digital assets issuer, users and investors need to first consider the risk profile of assets, infrastructure and their respective risk appetite before embarking on the digital assets journey. They also need to understand the risk exposures and potential impact of digital assets on their portfolios and business activities.

For example, asset managers need to address the risk reward balance before engaging in marketing activities to prop up new digital assets products and services, and hope they can simply transfer the risk to a third party service provider. The risk and regulatory considerations should be an integral policy to adopting digital assets for both traditional financial institutions as well as decentralised finance enablers. To this effect we emphasise on identifying, classifying and assessing specific risks and potential impact for the digital assets community at large. Rather than just applying  risk assessment at enterprise level we apply a coordinated approach with risk management at project, product ,business activity, jurisdictional and enterprise levels to get a comprehensive treatment of risks and controls in order to acheive desired outcomes.

As part of our “Swiss Blockchain Academy” community ethos, we bring talent and tools to enable digital assets and support the paradigm shift taking place. This is addressed through themes and topics such as risk profiles, business models, control frameworks, crypto properties, and RWA asset tokenisation use cases including TradFi securities with underlying tokenomics related to tokenisation.

Risk Themes

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Risk Profile

Identify & assess

For the risk identification of risk types, sources & drivers as well as assigning probability & impact metrics 

Risk Strategy

Appetite & Limits

The risk management begins with understanding what risks and how much impact can be managed and/or mitigated

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Risk Data

Data analytics & Information

Combining network, market, index & transaction data attributes to enable risk monitoring, control and decision making in real time

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Risk Dashboard

 Risk matrix & key metrics 

To invoke risk mitigation strategies, make informed decision & take timely action