Rethinking risk management: Shape the future of the financial world as

The Fraunhofer Institute for Industrial Engineering IAO invites you to immerse yourself in the exciting world of quantitative risk management!

Our »Quantum Computing« team is investigating how companies can make effective use of quantum computers in the future and is developing suitable software solutions, algorithms, and tools for these applications. Utilize state-of-the-art ML architectures such as transformers and reinforcement learning to play a key role in optimizing risk management strategies.

What you will do

You will work in an interdisciplinary team on innovative and exciting research topics and projects with the following activities:

Implementation of ML models for optimizing hedging strategies in Python

Evaluation and comparison of different models (benchmarking)

Supporting data preparation and analysis for ML models

Assisting with the documentation and presentation of project results

Researching current trends and technologies in the field of ML and finance

What you bring to the table

You are a registered student in the field of computer science, quantitative finance, (quantum) physics, mathematics, or similar areas and are looking for a topic for your master's thesis

In-depth knowledge of ML (e.g., RNNs, LSTMs, transformers, RL)

Initial experience with relevant Python libraries (e.g., TensorFlow, PyTorch, RLlib)

A basic understanding of finance topics, especially derivative pricing, is an advantage but not required

Interest in new research topics in ML and finance

Creative, independent way of working

Ideally, you are willing to be present at the office in Stuttgart on a regular basis

What you can expect

You can expect challenging and varied tasks in an innovative research environment. We also offer you:

Exciting and innovative projects with insights into quant finance, ML, and quantum computing

Access to the latest development technologies

Interesting, practical tasks that will help you expand your skills

A pleasant working atmosphere in a motivated team

Equal opportunities, accessibility, and diversity

State-of-the-art technology and working environment

Mobile working and flexible working time models, and only 10 minutes away from the university

Transparent and fair remuneration

Connection to our student network

Sports facilities at the University of Stuttgart

We value and promote the diversity of our employees' skills and therefore welcome all applications - regardless of age, gender, nationality, ethnic and social origin, religion, ideology, disability, sexual orientation and identity. Severely disabled persons are given preference in the event of equal suitability.

The monthly working hours are at least 40 hours, depending on the agreement

The position is initially limited to one year, depending on the agreement

Remuneration according to the general works agreement for employing assistant staff.

With its focus on developing key technologies that are vital for the future and enabling the commercial utilization of this work by business and industry, Fraunhofer plays a central role in the innovation process. As a pioneer and catalyst for groundbreaking developments and scientific excellence, Fraunhofer helps shape society now and in the future.

Interested? Apply online now. We look forward to getting to know you!

If you have any questions about this position, please contact:

Dr. Florian Knäble

Email

Fraunhofer Institute for Industrial Engineering IAO

Requisition Number: 81837 Application Deadline: 11/30/2025