Wematch.live has launched its SM@RT Matching optimiser which aims to address common pain points and drive efficiency in securities lending operations. SM@RT Matching is designed to enable both lenders and borrowers to define their own rules and constraints on the platform, such as risk-weighted asset (RWA) weighting linked to Tax ID, collateral schedules, currencies, borrower ranking, and lender ranking. Through the use of direct connectivity with both lenders and borrowers to receive targeted availabilities and borrow needs in real-time, the firm says the new engine provides the “best combination of trades” based on the inputted constraints. Commenting on the news, David Raccat, co-founder and chief revenue officer of Wematch, says: “This innovative technology is a game-changer, empowering our clients to optimise their securities lending operations and find the best liquidity match based on their unique requirements.” Elie Slama, co-founder and chief technology officer of Wematch, adds: “Our SBL live platform was entirely revamped in 2022 to accommodate general collateral flow, as well as tailored workflows for underserved segments such as FRM, HTB, and corporate bonds. “With a cloud-based serverless architecture, we can dynamically adapt to market size, handling over 10 million simultaneous interests in live data and processing up to 6,000 trades per minute.”
