LGT Industry · Engineering Part-time

Audit Data Analyst 80-100% (f/m/d)

CHF 80'000 – 100'000 / year
LIECHTENSTEIN
MACHINE LEARNINGGENERATIVE AINLPLLMS

Description

As an Audit Data Analyst, you are a member of the Group Internal Audit (GIA) Data Analytics team in Bendern. The team delivers data analytics products and solutions to the global GIA organization, such as audit-specific analyses, reusable dashboards and fast ad-hoc evaluations. It is responsible for BI capabilities for internal auditors, as well as advanced data analytics and select AI solutions within GIA.

We are looking for a junior to mid-level profile who enjoys helping to shape data-driven exams in practice

Responsibilities

  • Work closely with audit teams to identify risks, connect data sources, and develop data-driven testing approaches
  • Design, development and ongoing maintenance of audit dashboards to support risk-oriented audit planning and execution as well as for other analysis purposes (e.g. ad-hoc evaluations and management reporting)
  • Carrying out exploratory and targeted data analyses for audit assignments (e.g. transaction and master data analyses, sample selection, anomaly detection) and actively participating in the planning and implementation of audits
  • Support in the construction, maintenance and further development of GIA's BI landscape as well as in the use of solutions provided by IT
  • Collaboration on advanced analytics and AI use cases for GIA, e.g. AI-supported assistants or agents to support the review process
  • Contact person for auditors and selected departments on data analytics and AI as well as support in the integration of data-driven audit approaches
  • Promoting data literacy through training, 1:1 sessions and audit-specific analyses as well as scaling new data analytics and AI approaches from pilot projects to widespread use

Requirements

  • Bachelor's / Master's degree in Data Science, Computer Science, Statistics, Business Informatics or a comparable degree; alternatively relevant professional experience in the field of data analysis, IT, auditing or banking
  • Experience in audit, risk, fraud, controlling or compliance is an advantage; Knowledge of the banking or private banking environment is desirable
  • Strong analytical skills and enjoyment of preparing, validating and evaluating large data sets in a structured way
  • Knowledge of data analysis tools and BI solutions (e.g. Power BI); Experience in building dashboards and reports is an advantage. Good knowledge of working with databases and query languages (e.g. SQL)
  • Programming skills in Python or related languages, as well as Git and GitLab
  • Basic understanding and interest in generative AI (LLMs, agents) and traditional machine learning (supervised, unsupervised, NLP) and willingness to apply them in an audit context in a targeted manner
  • Very good knowledge of German and English as well as the ability to work on several tasks at the same time and to find one's way in a dynamic environment

Please note that we cannot consider applications via recruitment agencies for this position.