About the position

We are looking for an intern (all genders welcome) to join our dynamic team in Berlin, Germany.

Your Mission

• Develop forecasting models and identify signals for international capital markets.
• Contribute proactively to the ongoing enhancement of our data-driven quantitative investment process.
• Adapt advanced machine learning models to forecast the cross-section of stock returns.
• Leverage vast amounts of structured data and powerful computing resources to support your research.
• Refine and validate ideas using cutting-edge backtesting and performance analysis tools.
• Conduct experiments to evaluate hypothesis-driven research on predictive signals.
• Collaborate closely with experienced finance quants and machine learning experts.

Your Skillset

To thrive in this role, you should possess:

• A degree in a quantitative field such as Engineering, Mathematics, Physics, Computer Science, or Statistics.
• Strong programming skills in Python and experience with Scikit-Learn, SciPy, NumPy, and Pandas (knowledge of Polars is a plus).
• Experience in collaboratively developing Python code, including proficiency in tools for version control (Git), shell scripting (Zsh/Bash), and continuous integration (Bitbucket/GitHub).
• Ability to write maintainable and well-tested code using tools such as Pydantic and Pytest.
• A solid understanding of machine learning and applied statistics.
• Experience with financial econometrics and cross-sectional asset pricing is a bonus.

Why us?

• An exciting and involving role with significant impact on shaping the future of AI-based sustainable investing
• A company culture that is based on a spirit of cooperation and is characterized by a high level of quality awareness, openness and attention to detail in all areas of our work
• The opportunity to work in an interdisciplinary team with our experienced quant finance, software engineering and machine learning experts
• A modern loft office in Berlin, Prenzlauer Berg, healthy food (including coffee, juices, fruit, vegetables, sandwiches) and high-end hardware from Apple 
• Internal workshops, unique learning possibilities across a wide range of domains as well as amazing team events
• Benefits such as Urban Sports Club or Egym Wellpass as well as corporate benefits 

About usWe are a deep tech pioneer, providing AI-based investment solutions to our clients. Building on the best practices of quantitative asset management we tap the potential of machine learning for sustainable investments on capital market.
Our interdisciplinary team consists of experts in the fields of finance, computer science, software engineering, machine learning as well as mathematics, physics, and neuroscience. Ultramarin is embedded in the global AI community, through a close exchange with leading universities and as a member of Inquire Europe. 
To date Ultramarin is one of the leading drivers for AI-based analyses and decision-making processes in asset management. Ultramarin has been founded in 2017, is headquartered in Berlin, with additional locations in Frankfurt and Munich, and is backed by leading international business angels and VCs.