Neudata Names Twitter's Morse As Advisor in the U.S.

May 1 2017 | 10:08pm ET

Alternative data specialist Neudata has named former Twitter global head of financial data partnerships Stephen Morse as an advisor for the U.S. market. 

In his new role, Morse will assist in bringing Neudata’s alternative data intelligence platform to hedge fund managers and other institutional investors based in the U.S., the company said. He will be based in New York.

Morse left Twitter at the end of last year, according to his LinkedIn profile. He brings deep experience with data, business information services and financial technology to his new position, as well as working with hedge funds. His background includes working for firms that were acquired by, or are now a part of, Barra/MSCI, Dow Jones, KCG and Twitter. He previously ran the New York City office of Gnip, which was acquired by Twitter. 

As head of global financial data partnerships at Twitter, Morse was responsible for all business with hedge funds, asset managers, FinTech partners, platforms and other financial institutions. He holds the Chartered Alternative Investment Analyst designation.

“We are thrilled to have someone as knowledgeable and experienced as Stephen bringing his expertise to Neudata as we expand our business of providing intelligence from new and alternative data sources to the sophisticated investor marketplace,” said Rado Lipuš, founder and chief executive officer of Neudata.

“It can be daunting for managers to find the precise data that will offer a true competitive edge and translate into alpha,” he continued. “Neudata understands this challenge and partners with investment managers to mine the nuggets of gold they truly want and need. 

Founded in 2016, London-based Neudata partners with investment managers to help tame big data, uncover overlooked information and focus on global equity, currency, commodity, fixed income and derivatives market intelligence. The company’s expertise lies in uncovering unique datasets from non-conventional sources that are not available on established and commonly used data platforms. 


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