This internship provides you with the opportunity to become part of our Asset Allocation Team with a focus on data science for quantitative investment strategies.

The Asset Allocation Team identifies relative performance opportunities in international multi-asset markets for tactical portfolio decisions. Applying Machine Learning to Asset Pricing problems helps us to discover non-linear relationships between the macroeconomic environment, market sentiment, and systemic risk.

During your internship, you will work closely with our specialists in quant finance and machine learning engineering. Within our supportive team environment you will have the opportunity to take ownership and full end-to-end responsibility.

Your tasks

• Work intensively on the development and continuous enhancement of our cutting-edge, ML-based, systematic investment strategies as part of our Asset Allocation Team
• Be involved in the further development and implementation (e.g., conducting experiments as well as evaluations) of our hypothesis-driven research agenda along key building blocks (e.g., data, transformations, model(s), targets) relevant for product performance
• Work closely with our senior quant finance and machine learning experts
• Write clean, efficient, and well-documented code in Python

• Currently pursuing a degree in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Economics/Finance with quantitative focus
• Solid knowledge of data analytics in Python as well as corresponding state-of-the-art tools and frameworks
• Experience in working with data, building quantitative models, data-driven decision-making
• Strong foundation in or willingness to learn software engineering principles, and a commitment to developing high-quality code that aligns with industry best practices
• Proactive and independent workstyle
• Strong interpersonal skills and a real passion for working in a team environment
• Passion for quantitative investing
• Fluent in spoken and written English, good communication skills
• Bonus: Proficiency with Git, the distributed version control system that’s integral to collaborative coding endeavors

• 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 Fitness First as well as corporate benefits