01Overview
Have you got what it take:
At least 5 years of experience in data analysis, preferably in the risk or fraud domain within the fintech industry.High proficiency in SQL Must. Experienced in writing complex queries and analyzing large datasets.High proficiency in Python for data analysis Must. Skilled in using Python libraries such as Pandas for data analysis and research, automation, and developing fraud detection logic.High proficiency in English and Strong written and verbal communication skills to effectively interact with clients, partners, and internal teams.Advantage: Understanding of the US financial systems Familiarity with banking, payments, or e-commerce systems and processes.Advantage: Experience with financial fraud prevention strategies.Advantage: Ability to work independently, take initiative, and drive projects from ideation to completion.Great team player with desire to mentor junior analysts and Data scientists. .
