Senior Fraud Data Analyst

nSure.ai is the payment fraud prevention provider of choice for Gaming, Prepaid and Gift Cards, and Crypto. We offer a managed service based on adaptive AI that deploys, for each customer, a dedicated model trained on their data. Focusing on behavior patterns - the most accurate and uniquely effective way to mitigate modern scalable fraud - our solution takes a fundamentally different approach to detecting fraud and preventing it from happening. Our customers benefit from the highest-efficacy decisions delivered in under 300 ms, with up to 98% approval rates and a chargeback guarantee, generating zero-risk net incremental profit.

As a Senior Fraud Data Analyst, you will be responsible for researching and identifying fraud trends and future threats. 

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.

If you are passionate about data and love working in a dynamic, fast-paced team, your place is with us!!

#Full-Time-Position



• 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.
• 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.

• 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.