You will focus on executing methodologies and processes to track and maintain the company's risk metrics in parallel to serving superb performance to our clients.
You will also be responsible for detecting risk trends and leading the frontier of various types of fraud-fighting using the most advanced technologies, methodologies, and techniques.
Responsibilities:
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.
Bachelors 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 Masters 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.
Operative and creative thinking.
Ability to work in an operational, dynamic, multitasking environment.
Team player.
Someone who loves the startup spirit and would like to join the ride.
