Research Scientist Model Development
Ulm, Germany | Hybrid / On-Site
About the Role:
As a Research Scientist in Model Development, you will work on the foundation of ACC Group’s Financial AGI systems — designing, training, and scaling the core models that drive our investment intelligence. You will be responsible for developing new architectures, optimizing training objectives, and creating the next generation of AI models capable of reasoning across dynamic financial environments.
This role combines deep expertise in machine learning and large-scale systems with the rigor of quantitative research. You will collaborate with AI engineers, data scientists, and quantitative analysts to push the boundaries of what intelligent systems can learn from structured and unstructured financial data.
Key Responsibilities:
- Design and train large-scale models for financial reasoning, prediction, and decision-making
- Develop and evaluate model architectures and training objectives suited for complex, multi-modal data sources
- Implement large distributed training systems using PyTorch or JAX on multi-GPU or TPU infrastructure
- Contribute to algorithmic innovations in reinforcement learning, representation learning, and self-supervised learning
- Build scalable data preprocessing and augmentation pipelines for structured, text, and market data
- Conduct research experiments to analyze model interpretability, learning dynamics, and convergence stability
- Collaborate closely with post-training and deployment teams to ensure smooth transition from research to production
- Publish and present internal research findings, contributing to ACC’s growing research corpus on Financial AGI
Requirements:
- Master’s or PhD in Computer Science, Machine Learning, Mathematics, or a related quantitative field
- 5+ years of research or industry experience in deep learning and large-scale model development
- Strong proficiency in Python and frameworks such as PyTorch, TensorFlow, or JAX
- Deep understanding of model architectures (Transformers, GNNs, Diffusion Models, RL-based systems)
- Experience with distributed training, model parallelism, and large-scale infrastructure
- Familiarity with optimization algorithms, numerical stability, and gradient analysis
- Strong publication record or demonstrable research portfolio in ML or AI systems
- Fluent in English; German is an advantage
Preferred Qualifications
- Research-driven mindset with a focus on reproducibility and scientific rigor
- Comfortable operating at the frontier of model scale and computational complexity
- Collaborative and curious, eager to learn from both financial experts and AI researchers
- Thrives in an environment balancing academic research depth with applied commercial focus
Why Join ACC Group
At ACC Group, we pursue ambitious goals — not incremental improvements. We are building the foundation for the next era of finance, and that requires people who thrive on innovation, precision, and curiosity.
Here, you’ll work alongside world-class engineers, researchers, and financial experts who share a common purpose: to create technology that redefines how the world understands and manages wealth. Our culture values initiative and independent thinking — every idea matters, every contribution shapes the outcome.
We offer an environment that combines the agility of a startup with the standards of a regulated financial institution. You’ll find the freedom to experiment, the responsibility to own your work, and the support of a team that values excellence over hierarchy.
Our people are our greatest investment. That’s why we provide competitive compensation, long-term incentives, and the opportunity to grow with a company that’s leading one of the most profound transformations in modern finance.
Join us — and help build the intelligence layer that will power the future of global markets.
About ACC Group
ACC Group AG is an AI-native fintech and asset manager shaping the future of asset and wealth management. We develop proprietary AI systems that transform data into actionable insights, enabling adaptive, data-driven, and transparent investment decisions. Our goal is to build financial ecosystems that continuously learn, proactively manage risk, and create sustainable long-term value.
Our research focuses on advancing Financial AGI (artificial general intelligence) designed for the complexity of global markets. These systems understand context, reason about uncertainty, and make decisions across multiple asset classes with the depth and precision of human expertise.
By combining deep learning, quantitative research, and modern infrastructure, we aim to make investing more precise, efficient, and accessible.
Our people are at the heart of everything we do. We believe that progress stems from curiosity, collaboration, and the courage to explore what's next. Together, we cultivate a culture that values excellence, rewards initiative, and brings together diverse perspectives toward one shared vision: advancing the way the world manages wealth.
Compensation
Competitive compensation package including base salary and performance-based bonus.We offer a comprehensive set of employee benefits designed to support your wellbeing and professional growth — including health coverage, continuous learning programs, flexible working arrangements, and access to modern tools and technology.