Required ANTI-FRAUD ANALYST
As an Anti-Fraud Analyst you will use data models to detect existing and potential fraud in our games.
You will work closely with the internal teams (RnD, Support, Data) in order to measure the fraud impact and find the right solutions to prevent that.
We are looking for a team player, someone with passion for data, who pays attention to details.
Responsibilities:
On going research of users behavior, find baselines and anomalies
Build automations in order to investigate fraud patterns and users complaints
Create data reports and dashboards
Defining projects goals and KPIs, publish internal policies
Find relevant product solutions, based on data analysis and business impact
Work closely with BI, data, Support and R&D and become a focal point for fraud aspects in the company.
As an Anti-Fraud Analyst you will use data models to detect existing and potential fraud in our games.
You will work closely with the internal teams (RnD, Support, Data) in order to measure the fraud impact and find the right solutions to prevent that.
We are looking for a team player, someone with passion for data, who pays attention to details.
Responsibilities:
On going research of users behavior, find baselines and anomalies
Build automations in order to investigate fraud patterns and users complaints
Create data reports and dashboards
Defining projects goals and KPIs, publish internal policies
Find relevant product solutions, based on data analysis and business impact
Work closely with BI, data, Support and R&D and become a focal point for fraud aspects in the company.
Requirements:
At least 2 years of proven hands-on experience as Data Analyst
Bachelor's degree in Industrial Engineering, Information system, Statistics, Economics or related fields
Excellent SQL skills with experience in analyzing big data
Excellent communication and collaboration skills
Experience with 24/7 production systems and real-time analytics
Advantages:
Experience with Fraud Detection techniques, Cyber Security or Gaming
Familiarity with Anomaly detection and statistical models
Experience with Python.
At least 2 years of proven hands-on experience as Data Analyst
Bachelor's degree in Industrial Engineering, Information system, Statistics, Economics or related fields
Excellent SQL skills with experience in analyzing big data
Excellent communication and collaboration skills
Experience with 24/7 production systems and real-time analytics
Advantages:
Experience with Fraud Detection techniques, Cyber Security or Gaming
Familiarity with Anomaly detection and statistical models
Experience with Python.
This position is open to all candidates.
