Vhayu names Tim King sales director, Emea

Source: Vhayu

Vhayu, the leading provider of enterprise tick data solutions, today announced the appointment of Tim King to the position of Director of Sales for Europe, Middle East and Africa (EMEA) to support strong company growth in the region.

With three European customers acquired in the first half of 2008, the appointment extends the London-based sales and services team and allows Vhayu to respond to increased market demand in the region. The additions to Vhayu's European client roster include financial institutions in the United Kingdom and Spain and a mortgage provider in Denmark.

"With the massive increase in market data volumes, fragmentation in liquidity accelerating the shift to electronic trading and new compliance requirements, all demanding systems capable of supporting this surge in data, there is an even greater need for financial services firms to look at how they process and store vital tick information," says Shanti Dev, President at Vhayu. "Vhayu continues to deliver best-in-class solutions in this environment, and we are seeing half of our business originating in the EMEA region. Tim is an important addition to our team, and we look forward to building on this success together."

Tim is a seasoned business development and sales manager, having worked in the financial services industry for over 15 years. He has held positions at London Stock Exchange, Dow Jones Newswires and Thomson Financial. Most recently, Tim was the Sales Manager at Mondas IT Limited where he was responsible for developing existing and new revenue streams and managing the pre-sales, marketing and account management teams.

Tim King, Director of Sales, EMEA at Vhayu comments, "I'm thrilled to join Vhayu at such an exciting time in its growth and to help further drive the company's success in the EMEA market. I look forward to working with the Vhayu team to expand our footprint and meet our customers' needs for high performance market data solutions for the capture and analysis of streaming and historical data."

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