Mission
Within the Group Internal Audit and reporting to the Head of Audit Data Analytics, the Data Analyst contributes to the development of Data Analytics/AI tools to support Internal Audit’s core processes, including risk assessment, audit planning, audit execution, reporting, and follow-up.
Main responsibilities
- Designing and maintaining a robust, scalable, and secure data-processing environment (data collection, transformation, using ETL tools and/or code).
- Developing reusable analytical assets, including statistical models, scripts, and AI/machine-learning models to automatize audit testing procedures.
- Supporting the integration of analytical results into Internal Audit deliverables such as dashboards, automated reports, and analytical products for non-technical users.
- Collaborating with auditors and subject-matter experts to prioritize relevant audit use cases, translating audit objectives into analytical requirements and developing appropriate data-based solution.
- Maintaining documentation for existing solutions, analytical methodologies, data sources, and model development.
- Providing IT support for the administration and maintenance of audit management software.
- Building effective relationships with key stakeholders, including data owners, data governance and IT teams.
- Participating in data-related working groups and communities of practice across the Bank.
- Keeping up to date with technological developments.
Your Profile
- At least 3 years of relevant experience in data transformation and analysis within a medium-sized or large organization, preferably in banking or financial services.
- Master’s degree in Data Science, Computer Science, Applied Mathematics, Physics or a related field.
- Expertise in core data science programming languages (e.g. Python, R, SQL) and libraries (e.g. Scikit-learn, Seaborn, PyTorch, TensorFlow).
- Experience in using Generative AI and Large Language Models (LLMs) to develop and apply AI-drive solution and AI-assisted automation, including competences in designing and operationalizing AI and ML platforms and pipelines.
- Experience with the design and implementation of ETL data-processing workflows.
- Knowledge in applying descriptive and inferential statistics, data-quality techniques, and analytical testing methodologies.
- Experience with data-visualization tools, knowledge of Power BI is an advantage.
- Integrity, independence, intellectual curiosity, and a constructive, solutions-oriented mindset.
- Strong organizational skills and the ability to manage several projects simultaneously.
- Strong written and verbal communication skills, with the ability to adapt communication to technical and non-technical audiences.
- Versatility and adaptability required to work effectively within a small team of Data Analysts.
- Fluent in French and English, both written and spoken; additional languages are an advantage.
Others
- Swiss Residence
Core Competencies : Adherence to the company’s values: Dedication, Conviction, Agility and Responsibility - Compliance with regulations and internal directives