We’re excited to announce that Matthew Fiordaliso has joined the Ai SPARK team, spearheading strategic initiatives, among other things. Reporting to CEO and Co-Founder, David Nabwangu, Matt’s first task is to expand TARA™ Bond to include corporate loans and Collateralized Loan Obligations (CLOs) backed by them. Plans are to start beta testing that offering in September, with a launch by yearend.
I’m excited to join the team at Ai SPARK and help build upon the success they have already achieved in Commercial Real Estate / CMBS by incorporating machine learning and AI into a leading credit risk model.
Matt previously was an executive director in S&P’s market intelligence division, where he was responsible for North American business development for fixed-income pricing and reference data. He came to S&P last year via that company’s purchase of London-based IHS Markit, where he had worked since 2010. Before that, he was a structured-product trader at several companies, including Wells Fargo and Ramius Capital.
“I’m excited to join the team at Ai SPARK and help build upon the success they have already achieved in Commercial Real Estate / CMBS by incorporating machine learning and AI into a leading credit risk model,” comments Matt. “There is a tremendous amount of potential to expand this approach into other areas across securitized products and I look forward to being a part of it.”
TARA™ Bond draws partly on credit data and analytics produced by Ai SPARK’s Transparent Autonomous Risk Algorithm, a proprietary machine-learning program that projects losses on securitized loans and continuously monitors risk tied to clients’ investments.
TARA™ Bond integrates secondary-market bond pricing and liquidity data from S&P. It is also supported by bond-cashflow data from Intex Solutions. Subscribers can access TARA™ Bond via Ai SPARK or Intex and eventually may be able to do so through S&P as well.