Daniel Lang

Daniel Lang is a seasoned professional with a strong background in Finance & Technology, focusing on customer-facing and sales roles for over 10 years.

He holds a Master of Science degree in Applied Physics with a concentration in Applied Mathematics from Columbia University and a Bachelor of Arts in Mathematics and Physics from Hofstra University.

Throughout his career, Daniel has demonstrated leadership in team management, product direction, and strategy development to support customers in achieving their business and technology objectives.

Having worked at reputable organizations such as Plaid, Microsoft, Riskcare, Numerix LLC, and Lehman Brothers Holdings Inc., Daniel brings a wealth of experience in enterprise sales, technical business analysis, and quantitative analysis.

He is passionate about empowering teams, delivering innovative products, and driving revenue growth to help clients succeed in their business ventures.