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\nDev Engineer Cyber Fraud Prevention\n\nING is looking for an experienced senior Dev Engineer to strengthen its DevOps team that delivers a sophisticated platform to detect cyber fraud.\n\nIf you want to work at a place where we care about preventing fraud, where we believe that you can live by the agile manifesto without jeopardizing the necessary compliance and QA measures, where we find that the problem chooses the language/technology and not the other way around, where we are committed to fostering a proper engineering culture and building a high-productivity team of smart Dev engineers with the getting-things done mentality, please read on.\n\nJob Description\n\nYour main focus will be on building and improving ING’s:\n\n\n* Platform for detecting and mitigating fraud for ING Commercial Banking Customers, which supports detection over multiple online channels and transaction processing.\n\n* Work with package based solutions, which can be configured to business needs.\n\n* In addition to working with complex data analysis solutions, you will also contribute to:\n\n* Streamlining our continous improvement process all the way by deploy those improvements into production in collaboration with Ops colleagues (using the best tools that we can find: e.g. Jira, Nolio, Confluence, Artifactory, …).\n\n* Improving our continuous integration, increasing our automated test coverage, and helping us get to the next level of maturity with respect to Continuous Delivery.\n\n\n\n\nYour work environment\n\nYou will work in the dynamic and challenging environment of the IT organization of ING Global Digital Channels.\n\nWe operate according to a Scrum Agile development process and strongly believe in the DevOps approach to delivering IT solutions. The focus is on high-quality mission-critical software delivered in time using iterative development with regular milestone demos to the business, so that at the end there are no surprises about what we build.\n\nProfile (desired skills & experience)\n\n\n* Master of Science in Computer Science or an equivalent field.\n\n* You love technology and naturally stay up-to-date on relevant new developments.\n\n* 5 years of software engineering experience, preferably in cyber fraud detection solutions for commercial banking payments processing.\n\n* Knowledge of packaged based solutions in the market for fraud detection and transaction monitoring.\n\n* You have sound knowledge of rule writing in on or more package based solutions;\n\n* Sound knowledge of continuous delivery tooling (Nolio, Artifactory, Selinium).\n\n* Experience with at least one modern scripting language (e.g. python, ruby, etc.)\n\n* English communication skills, verbal as well as written.\n\n\n

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