Student Teaching Assistant (m/w/d)

We are looking for a Bachelor/Master student (all genders) with a focus on assisting the chair’s team as a tutor for the exercise sessions for the course FIN 687 Python in Finance (5 exercise sessions in total). The new student assistant needs to be ready to support the course in September 2025 (Sep 4, 8, 11, 15, 18).

The course teaches students how to use Python from the ground up. Starting from fundamentals, we cover functional programming and finish with more advanced concepts, such as econometrics, web scraping, and machine learning. You can find more information about the course on the chair's website: https://www.bwl.uni-mannheim.de/en/ruenzi/teaching/master-courses/fin-687-python-in-finance/

A traditional cover letter is not required.
Instead, please shortly address the following two skills in your email:

1. Explain your proficiency in Python.
For example, highlight projects you did, methods you used, and how frequently you work with Python. Do you also use it for hobby projects?

2. Explain your proficiency in presenting / teaching.
For example, mention presentations you held, how many people were there, and the difficulty and nature of the topic. Highlight any teaching assistant positions you held.

In addition, please submit your CV and trans­cript of records. 

Ihre Aufgaben

• Prepare teaching materials for the exercise sessions
• In-person teaching of the five exercise sessions (1.5h each)
• Answering students' questions about course materials
• Assisting the team with other tasks related to the course

Ihr Profil

• Fluent English
• Proficient in Python without relying on AI
• Ability to explain concepts in simple terms

Optional:

• Experience teaching / presenting to medium-sized audiences
• Knowledge about econometrics, machine learning, and web scraping

Unser Angebot

The exercise sessions are to be taught in person in Mannheim. All other tasks can be conducted remotely at flexible working hours.

Students from other disciplines, e.g. Computer Science / Data Science / Economics, are highly encouraged to apply. Knowledge about Finance is NOT a requirement.

 
 

Bewerbungen von Schwerbehinderten werden bei entsprechender Eignung bevorzugt berücksichtigt. Die Universität Mannheim strebt die Erhöhung des Frauenanteils an und fordert daher entsprechend qualifizierte Frauen ausdrücklich zur Bewerbung auf.

Bei Interesse senden Sie Ihre Bewerbungs­unter­lagen bis zum 01.08.2025 per E-Mail an:

sven.vahlpahlmail-uni-mannheim.de

 

Für fach­liche Fragen steht Ihnen Sven Vahlpahl unter

sven.vahlpahlmail-uni-mannheim.de

gerne zur Verfügung.