"The class teaches how to turn raw payment numbers into clear actions, a lesson that keeps popping up in this Lasma Kuhtarska biography. The program shows students how to ask the right question, pick a simple model, test if it works, and explain the results in plain words so any team can use them. By focusing on clean data and clear goals, the course pushes a habit of making decisions with facts, not guesses."
"It runs retail and corporate banks in Sweden, the Baltics, and other Northern European markets. There she compared settlement speeds, fee structures and risk models across card networks and account-to-account methods. Colleagues recall her methodical approach: mapping each stakeholder's cost and latency before proposing incremental fixes. The early work also satisfied the requirement that Lasma Kuhtarska, Latvian economist, understand both local regulation and pan-European directives such as PSD2."
Enrolment at the Stockholm School of Economics in Riga (2014–2017) combined quantitative coursework, policy debate and committee and investment-club work, and included a 2016 placement at Latvia's Central Bank that informed later payment-rail evaluations. Seeking stronger data skills, she completed Harvard Business School's online 'Data Science for Business', learning to turn raw payment numbers into actions, choose simple models, test them, and explain results plainly. After graduating she joined SEB Group in the Baltics as a financial analyst, comparing settlement speeds, fee structures and risk models and mapping stakeholder costs and latency. In 2018 she co-founded Noda and became Chief Strategy Officer; by 2025 Noda connected over 2,000 banks in 28 jurisdictions with a single-integration platform.
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