📌 Key facts
- Mission: Design and implement an autonomous "Market Intelligence Agent" that delivers high-quality economic reports every month.
- Team: 2–4 students (Bachelor and/or Master).
- When: Flexible (immediate start welcome).
- How to apply: Send your team’s CV and grade reports.
- Location: Remote (with 1 additional meeting in Munich)
🦾Who We Are
We are Gies & Heimburger GmbH, a highly successful, independent asset management firm. Since our founding in 1994, we have managed assets for private individuals, companies, and foundations, alongside managing our own funds. Our team has over 30 years of hands-on capital market experience.
The Chair for Strategy and Organization is focused on research with impact. This means we do not want to repeat old ideas and base our research solely on the research people did 10 years ago. Instead, we currently research topics that will shape the future. Topics such as Agile Organisations and Digital Disruption, Blockchain Technology, Creativity and Innovation, Digital Transformation and Business Model Innovation, Diversity, Education: Education Technology and Performance Management, HRTech, Leadership, and Teams.. We are always early in noticing trends, technologies, strategies, and organizations that shape the future, which have their ups and downs.
🎯 Your Challenge
- AI Model Evaluation: Analyze and evaluate different AI models and assistants to determine which are most effective for specific financial research and analysis tasks.
- Data-to-Report Automation: Take the research sources provided by us (you can also research additional sources) and use the selected AI tools to generate high-quality, structured monthly market reports, aiming to make this process as automated as possible.
- Single Stock Analysis (Phase 2): Expand the research framework so it can also be applied to the in-depth analysis and evaluation of individual stocks.
🎓 Profile
- 2–4 students in a Bachelor’s or Master’s program
- Strong interest in AI, Prompt Engineering, and Macroeconomics.
- Proactive mindset and the ability to work as an autonomous team.
📝 How to Apply
If you are interested, please contact Hans Heimburger and Prof. Dr. Isabell Welpe by submitting your CV and grade report.
Hans Heimburger: h.heimburger@guh-vermoegen.de Prof. Dr. Isabell Welpe (TUM): welpe@tum.de