Chayenne Mosk is an analyst at Belmana. Previously at Deutsche Bank, she collaborated on research to enhance the interpretability of Foreign Exchange market quantitative trading models. At ING Bank, she forecasted the bank’s balance sheet up until the year 2050. Both experiences required her to excel in data extraction, cleaning, processing, and management.

She holds a Master in Data Science from London School of Economics and Political Science (LSE) and a Bachelor in Econometrics and Data Science from Vrije University Amsterdam. She is passionate about using her expertise in data science and econometrics to drive innovative solutions in public policy and business strategy, particularly in areas where data can make a significant impact.