Fund Suitability & Origination
Assessing risks with
cutting edge technology
When intending to make or receive payments to or from other wallets a service provider, especially regulated professions, is often faced with the problem of assessing the source of funds and the counterparty risk to the transaction.
As part of our Fund Suitability & Origination services we use systems that rely on machine learning and artificial intelligence to help you risk assess a particular wallet and understand whether the transaction matches your risk appetite.
AML
Source of Funds
Cryptocurrency financial institutions and other regulated professions (law firms, accountants, real estate agents) must follow government rules (or rules imposed by their governing bodies) on anti-money laundering and counter-terrorist financing measures. Failing to adhere to these rules can lead to fines from local or international regulatory bodies which can be detrimental financially as well as reputationally.
In order for these businesses to accept cryptocurrencies as a form of payment they must assess the Source of Funds of a customer and in case of Cryptocurrency Exchanges the ravel rule.
We are available to assist companies to take the necessary measures to adhere to these requirements and make sure they are AML compliant by monitoring exposure and suspicious transactions and conducting audits where necessary. We also offer ‘Source of Funds’ checks for digital assets to support you in your risk management obligations.
Risk Management
KYW / KYT
Businesses that utilise the blockchain or cryptocurrencies as part of their product or service offering always run the risk of attacks by cybercriminals.
If your firm has fallen victim to a cyber-attack which has affected or may affect its digital assets, and you require consultation to address these matters, we can help you by offering advisory support, tracking lost digital assets and putting in place those steps which are necessary for you to resolve matters and get back to what you do best, running your business.