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Job Opportunity: Fraud Data Analyst

 
Date   Jul 19
 
Listing No.   IE250936
 
Sector   Accounting, Economics, Analysis & Statistics
 
Region   Center
 
City/Yishuv   Herzliya
 
 
Fraud Data Analyst
 
Are you a total data addict who likes to get his/her hands dirty? Do you want to work with one of the largest data sets in the mobile world?
We’re looking for a talented pioneering spirit to join our team and help make data-driven decisions.
This position will also includes analyzing evolving fraud patterns and developing fraud prevention components by leveraging domain expertise, analytics and data science methods.
The ideal candidate will be a problem solver with strong analytical skills who loves slicing and dicing numbers.
He/she should also be a good listener who can distill the numbers into actionable steps to ensure that the company platform remains at the top of its class.

Responsibilities

Mine our huge data sets using machine learning, statistics and analytics techniques to find and identify fraud prevention opportunities
Research, design and implement solutions to prevent fraud
Lead and execute continuous data analysis and provide insights while working closely with developers throughout our development process to bring analytical insights to life
Work on machine learning projects, including feature engineering and model training
Communicate data findings to business, product and engineering teams

Minimum Qualifications

Bachelor’s degree or above in Mathematics, Statistics, Computer Science etc.
Experience in relevant positions (Data Analyst, Statistician, Data Scientist, Risk Management, Army intelligence units)
Proven track record in working with huge data sets
Excellent SQL skills
Product & business orientation
Quick thinker, fast learner and problem solver with ability to get things done from start to finish
“Can-do approach”

Preferred Qualifications

Experience with Spark
Experience with working R / Python / Scikit-learn etc.
Experience as a fraud analyst in the tech industry
 
 
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