Bachelor’s degree in Finance, Statistics, Economics, or a related quantitative field Minimum of 4 years of experience in data analytics, with a strong focus on fraud prevention Proficiency in SQL; hands-on experience with Python or R for data analysis Demonstrated experience in end-to-end investigations, including both analytical and manual forensics Excellent written and verbal communication skills Experience in the crypto space is a strong plus Experience with big data technologies (e.g., Spark) and version control (e.g., GitHub) is a plus Advanced analytical and problem-solving skills Exceptional communication and stakeholder management skills Strong leadership and coaching abilities