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.
Job Specification
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.