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Quant-oriented companies can provide a solid computational infrastructure and a rich data environment. However, major intellectual impetuses, which have the potential to reshape the investment industry, often come from the academic field. QI wants to support an exchange between these environments by offering two kind of programs that cover thematically all three frontiers of QI’s investment approach.
In the internship program QI Investment offers highly motivated students to get a hands-on experience in quantitative investing. Internships are available on a broad range of topics like data infrastructure, quantitative research, and portfolio management.
In the thesis program QI Investment provides outstanding students the opportunity to base their final thesis on an internal research projects. QI’s projects are positioned at the forefront of quantitative investing and have an impact on existing strategies or even justify new ones.
Build and optimize our data infrastructure. Leverage your expertise in ETL processes, cloud infrastructure, and data warehousing to build scalable data pipelines and lay the foundation for business success.
Find and distill the pattern in the unknown. Work on cutting-edge AI projects and detect non-obvious relationships for financial investing that drive the company’s growth.
Understand crypto from an investor’s point of view. Make use of your knowledge of blockchain technology to navigate the exciting world of cryptocurrency.
Find and distill the pattern in the unknown. Work on cutting-edge AI projects and detect non-obvious relationships for financial investing that drive the company’s growth.
Understand crypto from an investor’s point of view. Make use of your knowledge of blockchain technology to navigate the exciting world of cryptocurrency.
Unleash the potential of alternative data. Walk off the beaten track by analyzing datasets that can tell very different stories and provide an entirely new perspective on how to structure investing.
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We combine new data sources with machine learning techniques to reveal nonlinear relationships and identify new pathways in investing.
