Join a forward-thinking team as an intern in the Tactical Asset Allocation department. You will work closely with experts to develop methods and models for analyzing capital markets, focusing on back-testing frameworks and predictive accuracy.
A successful candidate will have strong quantitative skills, proficiency in programming languages such as Python, experience with machine learning techniques.
This internship is ideal for students pursuing degrees in math or science who wish to apply theoretical knowledge to real-world problems.
We offer a unique opportunity to gain valuable hands-on experience while contributing meaningfully towards our organization's success. Additionally we provide opportunities that align career aspirations including both Career Mobility. As part of this collaboration you'll also become part Severely disabled candidates are prioritised if equally qualified.
Veröffentlichungsdatum:
04 Feb 2026Standort:
MünchenTyp:
VollzeitArbeitsmodell:
Vor OrtKategorie:
Erfahrung:
2+ yearsArbeitsverhältnis:
Angestellt
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