Data Scientist Internship Opportunity
vor 4 Wochen
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. Our team identifies relative performance opportunities in international multi-asset markets for tactical portfolio decisions. By applying machine learning to asset pricing problems, we discover non-linear relationships between the macroeconomic environment, market sentiment, and systemic risk.
Your Responsibilities- Develop and continuously enhance our cutting-edge, ML-based, systematic investment strategies as part of our Asset Allocation Team
- Contribute to the further development and implementation of our hypothesis-driven research agenda along key building blocks (data, transformations, models, targets) relevant for product performance
- Collaborate with 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 a quantitative focus
- Solid knowledge of data analytics in Python and corresponding state-of-the-art tools and frameworks
- Experience in working with data, building quantitative models, and data-driven decision-making
- Strong foundation in 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 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, and high-end hardware from Apple
- Internal workshops, unique learning possibilities across a wide range of domains, and amazing team events
- Benefits such as Urban Sports Club or Fitness First, as well as corporate benefits
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