Research Scientist Post-Training
Ulm, Germany | Hybrid / On-Site
About the Role:
As a Research Scientist in Model Optimization and Post-Training, you will focus on improving the performance, alignment, and real-world applicability of ACC Group’s Financial AGI models. Your mission is to bridge the gap between foundational research and production systems — refining trained models through fine-tuning, reinforcement learning, and continuous feedback from real financial environments.
You will work on techniques that make our models more efficient, reliable, and interpretable in real-time applications, such as portfolio optimization, risk forecasting, and autonomous investment decisions.
Key Responsibilities:
- Design and execute fine-tuning, reinforcement learning, and post-training experiments for Financial AGI models
- Develop evaluation metrics and feedback loops to assess performance in applied financial contexts
- Optimize inference pipelines for latency, accuracy, and energy efficiency
- Collaborate with data engineering teams to create scalable data feedback systems from live trading and client interaction layers
- Research novel methods for model compression, distillation, and domain adaptation
- Implement robust evaluation frameworks for regression, classification, and policy optimization tasks
- Conduct ablation studies and comparative analysis to identify optimal training strategies
- Partner with AI infrastructure and deployment teams to integrate optimized models into production environments
Requirements:
- Master’s or PhD in Computer Science, Machine Learning, or related technical field
- 5+ years of research or engineering experience focusing on model training, fine-tuning, or optimization
- Strong programming skills in Python and experience with PyTorch or TensorFlow
- Deep understanding of reinforcement learning, policy optimization, or reward modeling
- Familiarity with model evaluation techniques (RLHF, PPO, DPO, or similar frameworks)
- Experience with large-scale inference pipelines and GPU/TPU optimization
- Strong grasp of numerical analysis, experimental design, and performance evaluation
- Fluent in English; German is an advantage
Preferred Qualifications
- Analytical and detail-oriented with a strong sense of experimental discipline
- Enthusiastic about bridging research and deployment to improve model performance in production
- Passionate about real-world impact and AI models that make measurable financial improvements
- Comfortable collaborating with both researchers and software engineers in fast-paced environments
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.