IT Auditor | Data Scientist

coni-partner; Zürich; Vor Ort; CHF 120.000 - 160.000; Vollzeit

Zusammenfassung

coni + partner ag, Zurich, seeks an innovative IT Auditor with CISA certification to lead data-driven audits using ML and AI across the group. The role focuses on converting complex data into actionable audit insights, and collaborating with internal stakeholders to strengthen risk controls.

Requirements include a Bachelor’s/Master’s in CS/Engineering/Finance, CISA, and strong Python/SQL skills. Location is Zurich with close ties to the internal audit department of a major international bank.

Qualifikationen

• Bachelor’s or Master’s degree required in (Business) CS, Engineering or Finance.
• CISA certification mandatory.
• Strong knowledge of asset management and investment fund sectors.
• Backgrnd in auditing, risk management and internal controls.
• Familiar with internal audit concepts and risk management.

Aufgaben

• Plan and execute data-driven audits across the group using data analysis, ML and AI-powered tools.
• Process large datasets via ETL to deliver robust audit results.

Kenntnisse

Python

SQL

Data science

Machine learning

AI

Data analysis

Ausbildung

Bachelor’s or Master’s degree in (Business) Computer Science, Engineering or Finance

Tools

ETL tools

Jobbeschreibung

coni + partner, established 1993, is a consultancy company with headquarters in Zurich and subsidiaries in Düsseldorf and Shanghai. We are specialised in custom-fit staffing in tune with the corporate culture by ensuring a perfect match of professional skills, references and personal as well as social skills of successful candidates.

Our client is the internal audit department of an international bank in Zurich. We are looking for an innovative, CISA-certified auditor (m, f, d) as

IT Auditor | Data Scientist

Aufgaben

• Independent planning and execution of data-driven audits across the entire group using data analysis, ML and AI-powered audit tools to detect deviations from standards at an early stage and identify risks / Translating an audit assignment into a data-analytical audit investigation, including IT-based tests, to uncover irregularities, statistical outliers, and systemic anomalies across the Group, thereby replacing random sampling controls with system-based audits
• Preparing unstructured raw data from large, complex datasets and processing it into robust and meaningful audit results through a structured ETL process (Extract, Transform, Load) and statistical audit procedures
• Discussing findings with stakeholders and reporting them to the HIA
• Collaborating on the further development of modern and innovative audit methodologies, including ML, LLM, and AI, to increase audit efficiency and the quality of audit results
• Supporting the Head of Internal Audit in preparing the annual plan and the annual assessment of the risk landscape
• Maintaining relationships with internal stakeholders
• Ad hoc Projects.

Qualifikation

• Bachelor’s or Master’s degree in (Business) Computer Science, Engineering or Finance
• CISA certification
• Knowledge of the asset management and investment fund sector
• Professional experience in the fields of auditing, risk management and internal controls
• Knowledge and understanding of current concepts and practices in internal audit and risk management
• Broad IT skills, database knowledge and specialist expertise in the areas of cyber security and cloud computing
• Professional experience in the fields of data science, machine learning and AI, as well as knowledge of data extraction and processing
• Proficiency in Python and SQL
• Interest in innovative audit topics
• Strong conceptual and analytical skills
• Initiative and a strong team-oriented approach
• Ability to maintain a clear overview of risk management issues that influence the organisation’s current thinking
• Professional conduct and credibility that inspire and strengthen trust
• Interest in innovation
• German and English.

coni + partner ag

Ivano Coni

Managing Director

Klosbachstrasse 107

CH-8032 Zürich

Tel.: [phone]