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Group Audit Specialist (all genders) Data Analysis

Erste Bank Oesterreich -
Wien, W

Jetzt bewerben

Details zur Stelle

Vollzeit

Qualifikationen

Bachelor

Vollständige Stellenbeschreibung

Location: Wien
Working hours: Full-time
Occupational Area: Audit
Company: Erste Bank Oesterreich

Home Office
Interest groups and events
Employee benefits
Learning & Development
Employee Share Program

Erste Bank Oesterreich is a leading domestic financial institution. As part of the international Erste Group, we are an attractive employer who offers interesting career opportunities.

The department Audit Central Services is responsible for performing audits in Erste Group Bank AG, its subsidiaries, and Austrian legal entities part of the Erste Group. A second responsibility is the coordination of audit activities within Erste Group for the audit area of responsibility. To strengthen our team, we are searching for an auditor with data analytics skills and with a passion for analysis, math, and statistics. Critical thinking and problem-solving skills, as well as the ability to communicate technical results to business stakeholders are essential.

Your Tasks

Conduct data-driven analyses to support audit engagements by understanding the underlying banking processes, assessing relevant risks, and designing and executing appropriate data analytics tests
Participation to the Data Analytics Expert Group across entities and SPOCs (audit departments, CEE banks and subsidiaries audit functions)
Support complex data use cases from idea to implementation (data sourcing, feasibility, methods)
Review and validate data analyses developed by others (data quality, methods, reproducibility)
Act as technical reference for data analytics topics towards business auditors, supporting and enhancing data analytics knowledge within the department
Implement automations of standard data-driven audit processes (Fraud analysis, Continuous monitoring)
Maintain and evolve shared analytics assets (repositories, templates, examples)

Your Background

Minimum 5 years of experience leveraging data analytics in a control, risk, or assurance environment (preferably in Internal Audit or other control function)
University degree in a STEM field (Science, Technology, Engineering, Mathematics) or a related discipline
Strong experience in data analytics, including SQL, Python, ETL processes, and the development of reproducible analytical solutions
Experience applying statistical and analytical methods for pattern detection, anomaly identification, and data-driven insights
Familiarity with modern analytics, visualization, and AI-enabled tools (e.g., Databricks, Tableau, chatbots, or agents); knowledge of data modelling concepts is an advantage
Strong communication skills across technical and non-technical audiences; and additional language skills (German and/or CEE languages) are an advantage

Our Offer

In this role, you will be in the driving seat for building up the data analytics capability in the internal audit community at Erste Group
The opportunity to work and develop in a highly dynamic and international environment with growing relevance
You have the possibility to carry out the audits with a high degree of autonomy and responsibility
We offer you the possibility to gain certifications relating to data science, banking/finance as well as to attend professional conferences and industry events.
Discover and enjoy the benefits of Erste Bank
The minimum wage for this full-time position in accordance with the collective agreement with complete fulfillment of the functional profile is EUR 51,336.04 gross per year. But this is just a formality - we would be happy to talk about your actual salary in person!
We offer our employees the opportunity to divide their hours between working from home and at the office.
We consider the diversity of our employees as key to innovation and success. As employer we are proud to offer everyone equal chances, irrespective of age, skin colour, religious belief, gender, sexual orientation or origin.

Contact

Barbara Mateju

Jetzt bewerben

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