We are seeking a professional to build and lead a team focused on implementing analytical models to detect financial crime, with a primary emphasis on Anti-Money Laundering (AML). You will be responsible for developing data pipelines that support analytical tools, analysts, and data scientists in creating effective financial crime detection models.
To excel in this role, you should “possess comprehensive” knowledge in managing Big Data on cloud platforms, with potential exposure to technologies such as AWS or Azure, SOA with API, REST, and distributed systems using Spark with Scala or Python.
You should have a history in overseeing data engineering projects and collaborating with stakeholders, including modelling teams and internal data suppliers, to understand and meet their data requirements. A Master’s degree in Computer Science, Information Technology, or a related field is required, and proficiency in data engineering is essential. Relevant certifications, such as AWS Certified Data Engineer, are beneficial.
What we offer is a modern workplace with amenities like a canteen, fitness centre, sports club, and more. You will benefit from a comprehensive benefits package, including health and dental insurance, pension, and other perks. We provide flexible work hours, six weeks of vacation, and five care days to ensure a balanced work-life dynamic. You will have access to extensive learning opportunities and work in an inspiring environment within a large IT organisation. This is a perfect opportunity to join an IT team and work in an international team focused on delivering innovative business-facing solutions.
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