HypoVereinsbank - UniCredit - Deutschland

DATA VISUALIZATION AND ANALYSIS (ANALYSIS & ADVISORY) (M/W/D)

Stellenbeschreibung:

DATA VISUALIZATION AND ANALYSIS (ANALYSIS & ADVISORY) (M/W/D)

Join to apply for the DATA VISUALIZATION AND ANALYSIS (ANALYSIS & ADVISORY) (M/W/D) role at HypoVereinsbank - UniCredit - Deutschland

Are you passionate about data analysis, data visualization and practical implementation of Artificial Intelligence ? Would you like to gain hands‑on experience during your studies on banking regulation, credit risk and data analytics and use your insights to help shape business policies? Do you want to contribute to the future of banking through modernization and automation initiatives ? Are you eager to challenge your skills by working on real‑world AI applications in the credit risk environment?

Then support us in Munich with max. 20 hours per week as working student in our team “Credit Risk Reports & Data” in UniCredit Bank GmbH.

The “Reports & Data” team is the hub for data, analyses and innovative credit risk projects at UniCredit Bank GmbH. We use big data, advanced analytics and machine learning techniques as well as business intelligence solutions. In this way, we increase efficiencies and uncover previously inaccessible information in a standardized, transparent and addressee‑friendly manner . We actively support the digital transformation of the entire UniCredit Group, from identifying use‑cases for interactive visualizations , through evaluation and implementation to roll‑out for users. We are involved in the collection and promotion of AI use cases in the credit risk area. We work in close collaboration with other departments of the bank, UniCredit Holding and its other legal entities.

What you can expect from us

  • Daily handling big data volumes, coding the extraction and visualization of information.
  • Support us in the automation of our Credit Risk processes via dashboards and AI‑driven solutions.
  • Apply innovative methods for Data analytics.

Daily activities will comprise data analysis/processing with SAS/SQL/Python, code implementation and testing, evaluation and analysis, provide standardized solutions and information visualization, support in the development of AI solutions.

What we expect from you

  • Academic background in a quantitative field such as computer science, data science, mathematics, statistics or a related discipline.
  • Proven practical experience with databases (SQL) is necessary and knowledge of at least one programming language is a prerequisite (preferably SAS, or Python, Power Query, …).
  • Experience with data visualization – ideally Business Intelligence software (i.e. SAS Visual Analytics, PowerBI/DAX, Tableau, …).
  • Hands‑on experience in applying Artificial Intelligence techniques (Gradient Boosting models, RAG, LLM, …).
  • Interest in working within heterogeneous data and system landscape.
  • Strong analytical skills and ability to solve and structure complex tasks.
  • Relation to the financial sector/banking through specialization during studies, internship or training would be beneficial.
  • Fluent in English.

Our offer to you

  • Work in Germany's most beautiful city: Mountains and lakes on your doorstep, plenty of cultural offerings and, of course, Weißwürste, Oktoberfest, and football.
  • Digitization and flexibility shape our modern working world. Design your working life the way it suits you best: Whether in the office or remotely. You get an employment contract with up to 20 hours per week, which you can arrange freely thanks to flexitime.
  • You are a full‑fledged team member from the very beginning and worth every single cent to us. That is why we reward your commitment and impact with an attractive remuneration according to the collective banking wage agreement with an hourly wage of over €19 gross.
  • With us, you are guaranteed a steep learning curve. In your multifaceted work experience, you can supplement your theoretical knowledge from your studies with practical insights and thus find out where your passion lies.
  • We are certified as Top Employer. Become part of our team!
  • We don't just accomplish our work, but experience and shape it together. As a real team, we communicate at eye level, value every opinion and are convinced that success is based on people empowerment.

Additional Information

In your application, please let us know your preferred start date, contract length (e.g. 12 months), if you would be available more than 20h/week in semester break (incl. preferred number of hours and corresponding timespan), confirmation for availability for on‑site work in Munich at least one day per week and the planned end date of university studies (e.g. master).

UniCredit is built on Integrity, Ownership and Caring. Living these Values authentically means doing what is right for our colleagues, clients and communities. We are a pan‑European Commercial Bank with a unique service offering in Italy, Germany, Central and Eastern Europe. We serve over 15 million customers worldwide and our strength comes from the impact we can make on those people’s lives and on our environment.

Rooted in our company’s Purpose is helping our communities to progress, not only through our differentiated products and services, but also through our investments aimed at building a sustainable future for our communities and strengthening their financial well‑being. Moreover we contribute to addressing the climate and environmental crisis by minimizing our carbon footprint and helping our customers and communities do the same.

Our colleagues are critical to the success of our Purpose. They are the driving force behind the impact we make in the communities we serve. When you join UniCredit, you become part of an international, inclusive and diverse community that leverages on “diversity of thought

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NOTE / HINWEIS:
EnglishEN: Please refer to Fuchsjobs for the source of your application
DeutschDE: Bitte erwähne Fuchsjobs, als Quelle Deiner Bewerbung

Stelleninformationen

  • Veröffentlichungsdatum:

    23 Jan 2026
  • Standort:

    WorkFromHome
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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