Internal Audit Data Analyst

Union Bancaire Privée; Genf; Vor Ort; CHF 120.000 - 160.000; Vollzeit

Benefits dieser Stelle

Swiss Residence

Zusammenfassung

Union Bancaire Privée is seeking a Data Analyst to support Internal Audit with data analytics and AI tooling across risk assessment, planning, execution, reporting, and follow-up. You will design and maintain data-processing environments, develop ML models, and deliver dashboards for non-technical users.

The role requires 3+ years in data transformation within finance, a Master's in a related field, and strong Python/SQL skills.

Qualifikationen

• 3+ years of relevant experience in data transformation and analysis in banking or finance.
• Master's degree in Data Science, Computer Science, Applied Mathematics, Physics or related field.
• Strong programming in Python, R and SQL with data science libraries.
• Experience using Generative AI and LLMs to build AI-driven solutions.
• Experience with ETL data-processing workflows.
• Knowledge of descriptive and inferential statistics and data-quality techniques.
• Familiarity with data-visualization tools; Power BI is a plus.
• Excellent communication and ability to translate audit objectives into analytics

Aufgaben

• Designing and maintaining a scalable, secure data-processing environment.
• Developing reusable analytical assets, including AI/ML models for audit testing.
• Integrating analytical results into dashboards and automated reports for non-technical users.
• Collaborating with auditors to prioritize audit use cases and translate objectives into analytics.
• Maintaining documentation for solutions, methodologies, data sources, and models.
• Providing IT support for audit management software administration.
• Building relationships with data owners, governance and IT teams.
• Participating in data-related working groups across the Bank.
• Keeping up to date with new technologies.

Kenntnisse

Python

SQL

R

ETL

Machine Learning

Power BI

Statistics

Data Visualization

LLMs

AI Platforms

Ausbildung

Master's degree in Data Science

Tools

Scikit-learn

Seaborn

PyTorch

TensorFlow

Jobbeschreibung

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