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Joining QI

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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 programs that cover all three frontiers of QI's investment approach.

Job Programs

QI Investment offers two distinct programs that provide hands-on experience and research opportunities at the forefront of quantitative investing.

Intern Program

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.

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Thesis Program

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.

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How It Works

A simple three-step process to join our team and contribute to cutting-edge quantitative investing research.

Find a Program

Search available quant programs

QI Investment offers internship and thesis programs for outstanding students. Please see below for a full list of available programs.

Prepare Documents

CV and supporting documents

Please provide a CV and your grade reports along with your application. If applicable please also enclose a letter of reference from previous internships or work engagements.

Apply for Program

Send us your documents

Please send your complete application documents to enquiry@qi-investment.com

Featured Intern Programs

Full-time internship opportunities across our core competencies in quantitative investing.

Data Engineering - Specialist

📍 Remote, Munich

Full Time

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.

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Deep Learning - Analyst

📍 Remote, Munich

Full Time

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.

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Crypto & Blockchain - Analyst

🇱🇺 Remote, Luxembourg

Full Time

Understand crypto from an investor's point of view. Make use of your knowledge of blockchain technology to navigate the exciting world of cryptocurrency.

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Data Science - Analyst

📍 Remote, Munich

Full Time

Let the data tell their story. Combine your data juggling skills with rigorous statistics to reach tangible conclusions and predictive insights that fuel the next generation of strategies.

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Portfolio Management - Analyst

🇱🇺 Remote, Luxembourg

Full Time

Steer the strategy life cycle from the navigation bridge. Optimize investment strategies by leveraging risk analysis, asset allocation, and performance evaluation to deliver exceptional returns on a continuous basis.

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Featured Thesis Programs

Research opportunities for outstanding students to base their final thesis on cutting-edge internal research projects.

Deep Learning Research

📍 Remote, Munich

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.

Crypto Investing Research

🇱🇺 Remote, Luxembourg

Understand crypto from an investor's point of view. Make use of your knowledge of blockchain technology to navigate the exciting world of cryptocurrency.

Alternative Data Research

📍 Remote, Munich

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.

Machine Learning Research

📍 Remote, Munich

Uncover hidden relationships in uncharted territories. Approach data sets with the toolbox of machine learning to make non-trivial correlations visible and create actionable insights.