Internal Audit Data Analyst

UNION BANCAIRE PRIVÉE, UBP SA; Genf; Vor Ort; CHF 90.000 - 130.000; Vollzeit

Zusammenfassung

UNION BANCAIRE PRIVÉE, UBP SA is seeking a Data Analyst to contribute to building data analytics and AI tools for Internal Audit. The role involves developing scalable data-processing environments, reusable analytical assets, and integrating results into dashboards and automated reports.

You will collaborate with auditors and IT teams, design ETL workflows, and stay current with AI/machine-learning platforms to support risk assessment, audit planning, and execution.

Qualifikationen

• 3+ years of experience in data transformation and analysis within a medium to large organization, preferably in banking or financial services.
• Master's degree in a data-related field.
• Strong programming skills in Python, R and SQL with experience in ML libraries.

Aufgaben

• Designing and maintaining a scalable data-processing environment (ETL/data collection/ transformation).
• Developing reusable analytical assets including statistical and ML models for audit testing automation.
• Integrating analytical results into dashboards and automated reports for non-technical users.
• Collaborating with auditors to translate audit objectives into analytical requirements.
• Maintaining documentation for solutions, methodologies, data sources, and models.
• Providing IT support for audit management software.

Kenntnisse

Python

R

SQL

Scikit-learn

Seaborn

PyTorch

TensorFlow

Ausbildung

Master's degree in data science/computer science/applied math/physics

Tools

Power BI

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