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

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

Zusammenfassung

An advanced research institute in Stuttgart seeks a motivated student for a position centered on quantitative risk management. You will implement machine learning models for optimizing hedging strategies, work with cutting-edge technologies, and contribute to innovative projects in finance and quantum computing. Ideal candidates are enrolled in a relevant field and possess knowledge of Python and machine learning.

Leistungen

Access to latest development technologies

Mobile working and flexible working time models

Sports facilities at the University of Stuttgart

Qualifikationen

• In-depth knowledge of ML techniques such as RNNs, LSTMs, transformers, and reinforcement learning.
• Initial experience with relevant Python libraries.
• A basic understanding of finance topics, especially derivative pricing, is a plus.

Aufgaben

• Implementation of ML models for hedging strategies.
• Benchmarking and evaluating different models.
• Supporting data preparation and ML model analysis.
• Assisting with project documentation and presentation.

Kenntnisse

Machine Learning (ML)

Python

Data preparation

Financial knowledge

Creativity

Ausbildung

Registered student in Computer Science or related field

Master’s thesis topic

Tools

TensorFlow

PyTorch

RLlib

Jobbeschreibung

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

Our 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

• 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

• 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
• 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.

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.

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!

Fraunhofer Institute for Industrial Engineering IAO

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