Job Description

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.


For our Innovation & Data Analytics Team in Group Internal Audit based in Zurich, we are looking for a full-time Data Scientist/Analyst.

YOUR CHALLENGE

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As a Data Scientist/Analyst you will support our Innovation & Data Analytics Team in its mission to further develop our data analytics capabilities within the Group Internal Audit function:


Improve the Internal Audit database and build data pipelines to enable analytical tasks Write high-quality software and queries to process and investigate large data sets from different sources Together with the team design rich data visualization to communicate complex insights Develop business use cases to identify opportunities for standardization and automation, supporting the development of Computer-Assisted Audit Techniques (CAATs) to enhance audit efficiency and effectiveness. Support and potentially lead data analytics and business intelligence initiatives to success Support the periodic risk assessment process as well as global and local audit projects with insightful data analysis and solutions Work closely with Lead Auditors and Specialists to design solutions using different analytical principles to optimize procedures (including ruleset, controls and documentation) for audits, project reviews, regulatory and special audits as well as forensic investigations Develop and execute regular and ad-hoc analysis, reports and dashboards Interact with the Internal Audit team and various data analytics teams across the bank to foster knowledge exchange and continuous improvement of our tools and processes Take an active role at the intersection between business and technology

YOUR PROFILE

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Minimum of Bachelor's degree in a quantitative subject (Computer Science, Engineering, Mathematics or similar), Master's degree preferred with 1-3 years experience in a data analytics/data science position Background in finance, banking and risk management / audit is an advantage Proficient in programming (SQL is a must, strong knowledge of Python etc.) Experience in developing and maintaining ETL flows and data pipelines Coding experience using different programming languages and low-code tools (e.g. Dataiku) and experience in data visualization (e.g. Tableau and/or PowerBI) are a strong plus Demonstrated ability to assemble data sets from various sources and analyze them using appropriate methodologies Passionate about leveraging data and statistics to solve complex problems Can-do attitude with a passion to retrieve and communicate sharp insights from structured and unstructured data Pro-active and open-minded personality High-level of confidentiality, integrity and responsibility to deal with critical and confidential data Strong communication skills in English and German
We are looking forward to receiving your full job application through our online application tool.