Working Student as Research Assistant (f/m/d) Centre for European Transformation
Frankfurt School of Finance & Management gemeinnützige GmbH
- Beschäftigungsart:
- Studentische Hilfskraft
- Einsatzort:
- Frankfurt am Main
- Kontaktaufnahme:
- Website
Stellenbeschreibung
Frankfurt School of Finance & Management is an EQUIS, AACSB and ABMA internationally accredited, research-orientated business school with university status. We offer comprehensive educational and advisory services to students, executives, graduates, participants, clients, and partners from all over the world.
About Us
The Centre for European Transformation at the Frankfurt School of Finance & Management focuses on sustainable growth in Europe through urgent research topics. It establishes a network for experts, academics, executives and stakeholders to strategically operate through the complex landscape and crafts solutions by combining research, policy advocacy, and community engagement.
Role Overview
We are seeking motivated Research Assistants (f/m/d) to support ongoing research projects. Projects may cover topics such as private debt, European capital markets, regulatory change, or policy‑finance intersections. If you are curious, reliable, and interested in building a modern research toolkit, this role could be for you.
Working Student as Research Assistant (f/m/d) Centre for European Transformation
- Frankfurt
- 01.09.2025
- Student Assistant
- limited
- Use generative AI tools (e.g., ChatGPT, LLMs) to accelerate literature reviews, extract information from documents, and draft concise research summaries
- Develop and document effective prompts and simple agent workflows; maintain a prompt and workflow library
- Perform light data tasks: clean datasets, verify results, and write small scripts in Python, R, or Stata to automate repetitive processes
Draft short memos (1–2 pages) connecting data insights, academic literature, and implications for markets or policy
Anforderungen
- Currently enrolled at a German university (Master’s level in Finance/Economics or Data Science)
- Strong intellectual curiosity, reliability, and clear written communication skills
- Comfortable working with large language models (LLMs): able to design prompts, assess responses, and iterate effectively
- Openness to learning, adaptability, and a proactive attitude
- Interest in programming; familiarity with Python, R, or Stata is an advantage. No advanced coding required, but confidence using notebooks is expected
- Background in finance, economics, or related fields (e.g., credit, loans, private debt) is a plus
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