Internal Audit Data Analyst in Genf

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

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