Data Engineer / Data Scientist for Audit

Financial Services, Technology, Finance, Information Technology

•Develop data analytics capability within the Audit function.

•Develop and extract knowledge from internal data sets by applying various descriptive and predictive analytics techniques.

•Together with the team design rich data visualisation to communicate complex insights.

•Drive the Audit database and build views to enable analytical investigation.

•Write software to clean and investigate large data sets of numerical and textual data and drive the automation process.

•Work on local and global audit projects with strategic impact and high visibility.

•Interact with the Group Internal Audit team and gain banking knowledge first-hand through analysis of data supporting key Bank’s processes.

•Contribute to the Data Science community in the Bank building knowledge network & become known for your skills.


•Minimum of Bachelor’s degree in Computer Science / Engineering, Mathematics or Quantitative / Statistical Analysis subject

•Minimum 3-4 years of relevant data analytics work experience

•Good SQL proficiency, preferably using Oracle RDMS

•Experience developing and maintaining complex ETL flows and pipelines, using clear, efficient and tested code

•Development experience using multiple programming languages and tools (including one or more of Python, R, Spark, SAS, Handoop)

•Ability, and with ease, to assemble data sets from disparate sources and analyze using appropriate quantitative methodologies, computational frameworks and systems

•Experience in data visualization (experience with Tableau preferred)

•Expertise in text mining, natural language processing is a strong plus

•Background in banking and risk management / audit is an added advantage

•Strong communication skills in English and German 

•Self-starter and proactive personality

•Analytical, critical and strategic mindset

•Enthusiasm and results orientated to drive your analytics output towards discovering new ways how to retrieve more insights from the existing data

•High-level of confidentiality, integrity and responsibility to deal with critical and confidential data

Job Facts

per annum
Zurich, Switzerland
Ismail Siu