Data Scientist, IT Auditor, CISA

coni+partner AG

Zürich

Vor Ort

Vertraulich

Vollzeit

14 Tage+

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Zusammenfassung

coni + partner ag, with headquarters in Zurich, seeks a Data Scientist IT Auditor (CISA) for its internal audit client in Zurich. The role focuses on data‑driven audits across the group using ML and AI‑powered tools to detect deviations and risks.

You will translate assignments into data‑analytic investigations and ETL‑driven audit results. You will contribute to modern audit methodologies, support annual planning and risk assessment, and collaborate with stakeholders in a fast‑paced

Qualifikationen

  • 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 auditing, risk management and internal controls.
  • Knowledge and understanding of internal audit and risk management concepts.
  • Broad IT skills, database knowledge and specialist expertise in cyber security and cloud computing.
  • Professional experience in 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.

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

Kenntnisse

Data analytics
Auditing
Risk management
Analytical thinking
Team collaboration
German
English
Python
SQL
Cyber security
Cloud computing
Machine learning
AI

Ausbildung

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

Tools

Python
SQL
Cloud computing

Jobbeschreibung

coni + partner, established 1993, is a consultancy company with headquarters in Zurich and subsidiaries in Düsseldorf and Shanghai. We are specialized 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

Data Scientist IT Auditor CISA

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

Please send us your documents for an initial contact by e‑mail to contact@coni-partner.com or call us on +41 44 254 90 10. Mr. Ivano Coni would like to support you. Your application will be kept strictly confidential.

coni + partner ag

Ivano Coni

Managing Director

Klosbachstrasse 107

CH‑8032 Zürich

Tel.: +41 44 254 90 10

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