Data Scientist/Analyst Group Internal Audit 100% (f/m/d)
Zurich, Switzerland
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Julius Baer
Julius Baer is the international reference in wealth management, based on a solid Swiss heritageAt 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
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
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
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Banking Business Intelligence Computer Science Data analysis Data Analytics Data pipelines Data visualization Engineering ETL Finance Mathematics Pipelines Power BI Python SQL Statistics Tableau Unstructured data
Perks/benefits: Career development
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