We have currently three cross-functional and international teams: One team is developing a large-scale cloud service for fraud prevention, building distributed responsive and resilient solutions which evaluate transactions in real-time. The second team is building a customizable SaaS solution which can also be deployed on-premise for business customers, ingesting wide varieties of data for automatic classification of events, as well as providing a presentation layer for manual review/classification. The third team is developing a scalable platform for real-time data processing, analysis and prediction, turning insights and models supplied by our data science team into the production code that forms the backbone of our fraud prevention solutions.
Development and maintenance of main software components;
Bringing in your ideas of how to improve our software by new technologies;
Code reviews of your fellow developers;
Supporting the release and deployment process;
Working together with data science team to develop and integrate new approaches for fraud detection.
Deep knowledge of Scala, comfortable with Scala Build Tools and testing frameworks;
5 years of experience on a Software Development position;
Experience in functional programming and/or OO ( ideally on the JVM );
Experience with MongoDB, PostgreSQL and SQL;
English skills – upper intermediate, good verbal/written;
Bachelor’s Degree in Computer Science / Informatics;
Experience with Akka is welcomed
The chance to play an active role in shaping our growing team;
Flat hierarchies and short decision-making processes;
A team of experts which allows you to learn something new every day'
The possibility to overtake responsibility and to release your own ideas;
German and English language courses;
Very modern and nice offices, soccer tables, all kind of drinks and organic fruits and everything you need to feel comfortable!
Our client is a software provider that offers anti-fraud solutions to companies within the e-commerce, telecommunication and financial sector. They are experts in data analytics and machine learning. The used cases include payment fraud, account takeovers, fraud within account and loan applications.