Intern Quantitative Investment Analyst (f/m/d)
About this role
As an Intern Quantitative Investment Analyst (f/m/d), you support our Investment Team in the continuous development and management of our investment strategies in the areas of Public and Private Markets. The position is available from October 2026, and the internship lasts at least four months.
What will you actually be doing?
Tactical Asset Allocation Models: You contribute to the quantitative research behind our tactical asset allocation models by independently backtesting model enhancements, evaluating new signals, and preparing analyses for our investment decisions.
Fund Selection: You assist in the quantitative screening, selection, and monitoring of funds and ETFs. This includes peer-group comparisons, performance and risk analyses, and supporting the ongoing due diligence of our fund universe.
Developing the Code Base: You support our quantitative analysts in further developing our code base. Among other things, this includes Python-based tools for portfolio simulation, backtesting, and fund selection.
Capital Market Analyses: You independently conduct quantitative capital market analyses to support our analysts and client advisors.
WHAT YOU BRING
Background: You are currently studying computer science, mathematics, physics, economics, finance or a related field and have a strong affinity for quantitative topics. Ideally, you have gained some initial experience in capital markets, statistical modeling, or data analysis.
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Responsibilities
- Tactical Asset Allocation Models: You contribute to the quantitative research behind our tactical asset allocation models by independently backtesting model enhancements, evaluating new signals, and preparing analyses for our investment decisions.
- Fund Selection: You assist in the quantitative screening, selection, and monitoring of funds and ETFs. This includes peer-group comparisons, performance and risk analyses, and supporting the ongoing due diligence of our fund universe.
- Developing the Code Base: You support our quantitative analysts in further developing our code base. Among other things, this includes Python-based tools for portfolio simulation, backtesting, and fund selection.
Requirements
- Capital Market Analyses: You independently conduct quantitative capital market analyses to support our analysts and client advisors.
- Background: You are currently studying computer science, mathematics, physics, economics, finance or a related field and have a strong affinity for quantitative topics. Ideally, you have gained some initial experience in capital markets, statistical modeling, or data analysis.
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