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vor 2 Wochen

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At Julius Baer, we celebrate and value the individual qualities you bring, enabling you to be impactful, to be entrepreneurial, to be empowered, and to create value beyond wealth. Let’s shape the future of wealth management together. **YOUR CHALLENGE**: - Maintain, and further develop, an internal library of existing algorithms that support the Bank’s Global Compliance processes - Provide support to the Bank’s Financial Crime Compliance division in developing machine learning models to support risk management - Support the operationalization of analytical tools developed within this team - Become key contributor of the Data Analytics competence center, by helping define standards and best practices and implementing innovative approach towards modelling of non-financial risk - Develop analytical solutions following industry best practices for model development, including model validation and continuous monitoring - Ensure that internally developed algorithms and analytics solutions are well documented, tested, and calibrated. Collaborate with colleagues in the Model Risk Management and Internal Audit divisions to ensure adequate supervision of model risk **YOUR PROFILE**: - Advanced degree in a quantitative field (Financial Engineering, Mathematics, Physics, or similar) - Extensive experience (>10k lines of code) with R, Python and SQL - 2-3 years of experience in Banking, preferrable in a risk function - Detailed and analytical, flexible and dynamic, passionate about analytics, new trends and technology HR Contact: Anna Janssen

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