LONDON / NEW YORK / SYDNEY / HONG KONG – Cassini Systems, the leading provider of pre-and post-trade margin and collateral analytics for derivatives market participants, has been named ‘Best Analytics Solution To Address Capital Requirements / Liquidity Risk’ at the RegTech Insight Awards Europe – 2023.

The RegTech Insight Awards acknowledge innovative solution providers that have positively impacted firms’ abilities to productively manage the ever-changing regulatory requirements in the global financial sector. Many companies entered this award category; however, Cassini successfully gained the most votes from industry peers.

Solutions to address capital requirements and liquidity risk have been of particular importance in the current environment, “… where some trades have seen an increase of 500% in Initial Margin (IM)”, says Thomas Griffiths, Head of Product at Cassini, when discussing the market environment with a lead trade publication.

Griffiths adds: “Volatility will continue, and liquidity risk is not going away. Analytics has allowed for greater transparency into firms’ liquidity risks and understanding of the margin and collateral cost to their business. By using analytics such as Cassini, firms can be proactive, instead of reactive, ready for any margin call that may come their way.”

Liam Huxley, Founder and CEO of Cassini, said: “Prolonged volatility has renewed the focus on margin and liquidity costs across the industry. When market factors lead to sudden deleveraging and reallocation of risk, firms must address their margin, funding, and liquidity risks. Market conditions are forcing change, and we, at Cassini are proud to make a positive difference for our clientele by providing solutions to ensure the most informed trading decision based on resourceful analytics and data. We aim to continue down this path with more unique approaches and advanced solutions that will seamlessly integrate into pre-existing end-user workflows.”

Cassini provides an analytics solution that can be seamlessly integrated into pre-existing end-user systems, enabling companies to utilize post-trade knowledge during the pre-trade process.