
Securities lending has historically been plagued by inefficiencies, where manual processes and complex regulations create obstacles in matching lenders with borrowers. Addressing these challenges, we introduced SM@RT Matching, the solution that promises to enhance the future of securities lending by streamlining operations and improving accuracy.
SM@RT Matching employs sophisticated algorithms to tailor matches based on specific criteria set by both lenders and borrowers. This includes considerations such as RWA weighting linked to tax ID, collateral schedules, currencies, borrower ranking, and lender ranking. By allowing institutions to define proprietary rules and constraints, SM@RT Matching ensures precise and efficient trade combinations.
Our platform’s ability to connect directly with lenders and borrowers allows it to receive real-time information on availabilities and borrowing needs. This immediate access to current data significantly reduces the time required to identify and execute optimal trades, enhancing market responsiveness and efficiency.
We integrate effortlessly with main post-trade vendors, enabling auto-booking or the receipt of tailored booking templates. This integration streamlines the entire post-trade process, minimising manual interventions and reducing associated risks.
We are transforming the securities lending landscape by enhancing efficiency, reducing risks, and optimising returns for both lenders and borrowers. As the industry continues to evolve, features like SM@RT Matching will be crucial in maintaining competitiveness and driving success.
For more information on how Wematch can optimise your securities lending operations, Contact us
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Tailored matching, smart negotiation and workflow tools for capital market operators.