Our product is a fraud-detection platform, specially designed for the betting business.
We started 2 years ago with a team created from scratch, dedicated processes and technology stack. Currently, we process, store and analyze over a billion events per day using ML and graph algorithms in real-time. We are going to reach two billion events during six to nine months adding more and more detailed data sources.
Unlike the majority of fraud-detection products available on the market, we are not wasting time on no-code/low-code and other marketing staff, focusing on our algorithms and business results instead.
As a part of the Data Science team of Risk Management Stream, you will work with challenging problems using a huge variety of data sources (bets, payments, site behavior data, etc.) detailed, enriched and collected for a long time.
— Creating the innovative solution for fraud detection;
— Determine the strategic view and modelling roadmap.
— Excellent knowledge of SQL;
— Experience with Python (Jupyter, Pandas, NumPy, Matplotlib, Seaborn);
— Good knowledge of maths and statistics;
— Experience in articulating business questions and using mathematical techniques to arrive at an answer using available data;
— Good communication skills for collaboration with people at all levels and different roles in IT and business;
— High level of personal responsibility, readiness to commit on projects instead of tasks;
— Knowledge sharing abilities.
— Experience with ML toolset;
— Experience with big data technologies.