Rethinking risk management: Shape the future of the financial world as a master's student

Fraunhofer-Gesellschaft; Stuttgart; Vor Ort; EUR 80.000 - 100.000; Teilzeit

Zusammenfassung

A prominent research institution in Stuttgart is seeking a master's thesis candidate to work on innovative projects in quantitative risk management. Candidates should have a background in computer science or related fields and an interest in machine learning and finance. The role includes implementing ML models and evaluating various strategies, with a supportive team and a flexible working environment.

Leistungen

Access to latest development technologies

Flexible working hours

Transparency in remuneration

Sports facilities at the University of Stuttgart

Qualifikationen

• You are a registered student looking for a master's thesis topic.
• In-depth knowledge of ML techniques is required.
• Experience with Python libraries is beneficial.

Aufgaben

• Implement ML models for optimizing hedging strategies.
• Evaluate and benchmark different models.
• Support data preparation and analysis for ML models.

Kenntnisse

Machine Learning

Python (TensorFlow, PyTorch, RLlib)

Derivative pricing understanding

Independent working

Research interest in ML and finance

Ausbildung

Bachelor's degree in Computer Science, Finance, Physics, Mathematics

Jobbeschreibung

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 [e-mail]

Fraunhofer Institute for Industrial Engineering IAO

www.iao.fraunhofer.de

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