• Track fraud trends by analyzing accounts and transaction patterns.
• Analyze deep transactional and behavioral data patterns and trends and provide data insights.
• Research reasons for deviation from baseline, and collaborate with data science teams for taking corrective measures.
• Identify and foreseen future fraud trends and patterns.
• Observe customer transactions to identify fraudulent activity.
• Design and develop analytics infrastructure for researching scalable fraud.

REQUIREMENTS

• Bachelor’s degree from exact-sciences-related areas such as Statistics, Economics, Mathematics, Industrial engineering, Computer Science, or a related field.
• Master's degree and or an active student for a Master’s degree - worked on, or actively working on a thesis - an advantage
• At least 4 years of experience as a data analyst.
• Experience in fraud/risk analysis in payment fraud.
• Experience in one of the following domains; Gaming, Gift cards, or Crypto- an advantage
• Significant experience in applying statistical techniques.
• Strong proficiency in working with SQL databases.
• Strong proficiency in Python and the Pandas package.
• Understanding of general concepts in the field of Machine Learning - an advantage.
• Excellent expression skills both verbal and in writing in English are a must.