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Job Opportunity: Fraud Data Analyst

 
Date   Jan 13
 
Listing No.   IE262790
 
Sector   Hi-Tech, Technology & IT
 
Region   Center
 
City/Yishuv   Tel Aviv
 
 
Fraud Data Analyst
 
We are looking for highly motivated team player to join our Tel-Aviv office as Fraud Data Analyst.
The ideal candidate is fast thinker who love to solve problems, play with data and get things done.
Candidate should be able to deconstruct complex questions and transform analytical insights into large scale, state-of-the-art, data based solutions.
Candidate will design, build and optimize fraud prevention rules and real-time fraud detection models.
Candidate must be quick learner with a profound sense of personal responsibility and strong technical skills.

Things you will do:

Research our database (using SQL, Python and similar tools) for identifying fraud risk trends and footprints, and improving our fraud prevention mechanisms
Develop automatic decisions using home grown rules engine, while applying advanced fraud risk methodologies
Work closely with other Risk teams - Data Science and Risk Operations (across the globe!)
Own the Fraud domain end to end. Lead and interact with internal teams and third-parties in a fast paced environment
Learn to assess businesses-strength and identify potential fraud risks, and make real time decisions

Must have:

2-3 years of experience with a data driven analysis for fraud prevention.
Behavioral Fraud/Cyber prevention and detection background.
Bachelor’s Degree in Economics, Statistics, Engineering, Computer Science or similar.
Vast SQL experience with complex queries as well as advanced Excel skills
Ability to communicate the results of analyses.
Code writing capability in additional programing language (Python, R, Java etc)
Highly motivated, thinking outside the box and attention to details.
Excellent spoken and written English

Nice to have:

Data visualizations experience (such as Tableau, MicroStrategy or any other visualization tool)
Background in Statistics and Machine learning methodologies.
 
 
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