TeleSign is a communications platform-as-a-service (CPaaS) company, founded on security.
Trusted by the world’s leading websites and mobile applications, our suite of easy-to-integrate APIs and SDKs uniquely combines data intelligence with messaging communications to enable businesses to more effectively engage customers, keep accounts secure and prevent fraud.
Fraud Research Knowledge Engineer
Position in Belgrade
Be a critical part of fraud prevention team.
Research global Telco and SMS industry data to augment and update TeleSign’s expert system.
Examine large amounts of data and do behavioral analysis to identify fraudulent activity.
Provide insights into fraud behavior and recommend reactive as well as proactive actions.
Provide customer support and research for classification and fraud reports.
Develop automated fraud prevention procedures and systems.
Get inside the fraud community and keep us on top of the latest and greatest trends.
University degree in Computer Science, Electrical/Software Engineering or Mathematics (Computer Science Department).
Fluent in English, verbal and written.
Experienced in building and running SQL queries against large databases.
Data analyst experience.
Python programming experience is a plus.
Prior experience in risk management, anti-fraud or anti-spam analyst positions is a plus.
Experience in using Tableau or similar reporting tools is a plus.
Telco or SMS industry experience is a plus.
Experience in data mining, machine learning, expert systems and automated systems is a plus.
Ability to make decisions based on both quantitative and ambiguous qualitative input.
Excellent analytical, troubleshooting and problem-solving skills.
Curious, fast learner and motivated to learn.
Strong orientation to details.
Innovative and proactive approach.
Perfectionist who likes to win.
Strong organizational and time management skills.
We are offering
Challenging but also very friendly and fun working environment.
Ability to work on cutting edge Big Data solution with large amount of data.
Ability to learn about new technologies, do research and proof of concepts in order to improve existing system and create a good bases for future projects.
Good compensation package - Competitive € salary plus attractive benefits.
Join our team, send your application in English language electronically. Only short listed candidates will be contacted. All applications will be handled with absolute confidentiality.
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