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 Fraud data analyst, you will be in charge of the daily fraud operations management.

You will be responsible for researching and identifying emerging fraud trends.

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 lead the frontier of various types of fraud-fighting using the most advanced technologies, methodologies, and techniques.

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

#Full-Time-Position

#LI-Hybrid

• Bachelor’s degree from exact sciences related areas such as Statistics, Economics, Mathematics, Industrial engineering, Computer Science, or a related field.  Or equivalent 2 years experience as a data analyst
• Experience in applying statistical techniques.
• Experience in working in an operational environment 
• Proficiency in working with SQL databases.
• Experience in fraud/risk analysis - advantage
• Familiarity with Python and the Pandas package - an advantage.
• Excellent expression skills both verbal and in writing in English are a must.
• Operative and creative thinking.
• Ability to work in a dynamic, multi-tasking, high-speed environment.
• Team player 
• Someone who loves the startup spirit and would like to join the ride

• Leading the daily fraud management 
• Observe customer transactions to identify fraudulent activity.
• 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 taking corrective measures.