Professional/Senior Support (m/w/d)

We are seeking a Senior AFC Modeller to join our international AFC Modelling Team to help us to fight Financial Crime. Technology and design empower everything we do and it\'s how we are building the global banking platform the world loves to use. You will work within a small team of highly motivated and diverse staff developing and optimising industry leading Fraud models using advanced technologies to cover Money Laundering, Terrorism Financing, Fraud and Sanctions risk. You will closely engage with other teams within AFC Modelling that identify and assess Fraud Risk and that review your models. Work within a high performance team that is the central point of contact for all AFC modelling tasks, working cross functionally with various teams Be an expert regarding the assessment of Fraud Risk, proper Risk Coverage and concepts/ approaches of Post and Real Time Transaction Monitoring models Have technical expertise around SQL and in implementing Transaction Monitoring models (e.g. in python) Lead the development of new models or modelling concepts and a full tuning of existing models within the Modelling function Design and improve processes by automation within the Modelling function Create statistical analysis around AFC Models for multiple purposes and conclude to actions Engage with the Threat Identification and Model Review Function around Model enhancements Manage Modelling related projects including stakeholder management and PMO tasks Engage actively with stakeholders around existing AFC Models and new requirements You have an excellent background of the regulatory obligations around Fraud detection and gathered some hands-on experience in analysing and using data to build and configure analytical detection models. You are comfortable working in a highly motivated team, self driven and focused on delivery of complex projects. You have some initial experience in Machine Learning models and want to be part of their usage for Fraud detection? Academic background in mathematics, economics, computer science, data science, information management, statistics or other relevant areas, Professional experience gained in an anti-financial crime, compliance or risk management role, ideally with at least 5+ years SQL, required, Expertise in an analytical programming language like Python or R , required, A professional Financial Crime qualification from an internationally recognised body (e.g. Fluent in English, German is a plus, Good project management, strong communication and presentation skills, Employee benefits that range from a competitive personal development budget, work from home budget, discounts to fitness & wellness memberships, language apps and public transportation. Come together in the office with your team for a dedicated day of teamwork each week, plus another day of your choice, and enjoy the flexibility of remote work the rest of the time. As an N26 employee you will have access to a Premium subscription on your personal N26 bank account. A relocation package with visa support for those who need it.