Tradier Hires Tim Macdonald, David Burch to Drive Company Expansion

Tradier poached David Burch from Ally Invest, and he joins its brokerage services and operations team in Charlotte.

Tradier, a cloud-based financial services company, has appointed Tim Macdonald and David Burch to its growing team, both joining the group with immediate effect, citing a company statement.

Macdonald, who started his career at marketing agency LeDuc Creative, has more than 8 years’ experience spanning different industries and has worked with both B2B and B2C clients with a focus on SEO and marketing communications.

He joins Tradier as its newest AVP of Marketing, coming from MetLife, Inc. an NYSE-listed financial services group.

“Tim is a seasoned marketer with a creative eye and will play a crucial role in enhancing our co-marketing programs, launching our customer-facing market place, and other initiatives. He has a bachelor’s from the University of Illinois and an MBA from Central Michigan University,” the company said.

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Additionally, Tradier has poached David Burch from Ally Invest, and he joins its brokerage services and operations team in Charlotte. As a representative broker, he caps off a career that encompasses both regulatory experience and active trader focus across various brokerage offerings.

Tradier may be less well known in the forex trader community as it currently only provides ‎stock and options trading. Moreover, it depends on its brokerage API product that can be ‎integrated by third parties, with client onboarding and execution provided by Tradier, while ‎offering limited technology to its direct clients.‎

The company offers an AI algorithm solution for a $99 subscription fee with no commissions or other fees.‎ From Tradier’s perspective, its offering generates value for its ‎users ‎‎as it provides a trading edge in the markets through sending insights ‎about macro events as they happen.

The platform estimates the magnitude of ‎an event using historical data while its artificial intelligence capabilities predict market ‎reaction. Furthermore, it interprets whether the release was stronger or weaker than ‎expected and by how much.‎

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