Fraud Operation Analyst

nSure.ai is a world leader in AI-powered advanced fraud prevention for high-risk digital transactions. We provide a unique multi-tenant platform that empowers our customers with their own AI/Machine learning model. Our platform's ability to collect, aggregate, and analyze behaviors and data in real-time enables nSure.ai to deliver payment approvals north of 90%. nSure.ai currently serves clients across four continents - among them are global leaders in the gift card, gaming, crypto and online travel segments.

As a Fraud Operation 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 execution of 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 to detect 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

Requirements:

• Bachelor’s degree from exact-sciences related areas such as: Statistics, Economics, Mathematics, Industrial engineering, Computer Science or a related field - Must
• 2 years of experience as a data analyst - Must
• Experience in applying statistical techniques - Must
• Experience in working in an operational environment - Must
• Proficiency in working with SQL databases - Must
• Experience in fraud/risk analysis - an advantage
• Familiarity with Python and the Pandas package - an advantage.
• Excellent expression skills both verbal and in writing in English is a must
• Operative and creative thinking
• Ability to work in a dynamic, multitasking, 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
• This position require occasionally working on Fridays (instead of on another day in that same week)