Tue, 27/05/2014 - 11:06
OTAS Technologies has hired Jennifer Martyn as the latest member of its US sales team.
Martyn’s appointment follows that of Nick Lieder earlier this year as head of US sales.
Martyn joins OTAS Technologies from Thomson Reuters where she worked in the Pan European equity research division, generating over USD1.4 million per year in revenues.
Prior to that, she spent six years at StarMine building up the company’s European sales office, and began her career as an equity sales trader based in Miami, London and the Czech Republic.
Martyn will work alongside the expanding North American global product specialist team, including Courtenay Kane and Noah Levin. Kane joined OTAS in 2013 with several years’ experience as an equity sales trader, while Levin was a product specialist in derivatives technology prior to joining the OTAS team in January 2014.
The team will work together to ensure a seamless integration of OTAS and TradeShaper into the workflow of new and existing institutional investment clients.
“I feel very lucky to be part of a young dynamic company that considers its clients’ needs first, before constructing well thought out solutions in this rapidly changing financial industry. I’m looking forward to working with the team in the US and on a global level to increase the OTAS footprint and grow the business,” says Martyn.
“Jennifer’s expertise and industry experience will bring a new dimension to the US team and its sales efforts. Her dynamic and client-centric approach to the fintech sales process has proven in the past to be a great recipe for success. We are very excited to have her join the team and look forward to expanding the US activity with her involvement,” says Lieder.
The OTAS platform provides traders and portfolio managers with the information they need to make better investment decisions, on more than 8,000 stocks worldwide. It alerts traders to hidden risks and opportunity in their portfolio or watch list, and highlights important information, normally concealed in market data.
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