The most powerful fraud and AML detection platform trusted by the world's largest brands.
Consumer-Facing Online Service Protection • Big Data Security • Internet Security • Mobile App Security • Fraud Detection
51 - 200
💰 Series C on 2019-10
March 19
The most powerful fraud and AML detection platform trusted by the world's largest brands.
Consumer-Facing Online Service Protection • Big Data Security • Internet Security • Mobile App Security • Fraud Detection
51 - 200
💰 Series C on 2019-10
• Design and build machine learning systems that process data sets from the world’s largest consumer services • Use unsupervised machine learning, supervised machine learning, and deep learning to detect fraudulent behavior and catch fraudsters • Build and optimize systems, tools, and validation strategies to support new features • Help design/build distributed real-time systems and features • Use big data technologies (e.g. Spark, Hadoop, HBase, Cassandra) to build large scale machine learning pipelines • Develop new systems on top of real-time streaming technologies (e.g. Kafka, Flink) • Responsible for developing the architecture that makes real-time UML (unsupervised machine learning) possible • Expand novel streaming and database systems to enable detection capabilities • Push the boundary of what's possible in fraud detection and data processing at scale
• 5+ years software development experience • 5+ years experience in Java, Shell, Python development • Excellent knowledge of Relational Databases, SQL and ORM technologies (JPA2, Hibernate) is a plus • Experience in Cassandra, HBase, Flink, Spark or Kafka is a plus • Experience in the Spring Framework is a plus • Experience with test-driven development is a plus • Must be located in Ireland
• Open, positive, collaborative, and results driven culture • Opportunity to work on cutting-edge fraud detection systems • Chance to work with world-class experts in big data, machine learning, and security
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