Are you a student looking to work at the cutting edge of academia and practice? For anyone interested in finance, few things are more exciting than trying to beat global markets using state-of-the-art research. You can get a taste of it by becoming one of our Super Quant interns.
Five reasons to join our Super Quant internship
Experienced supervisors
Real impact
Insider’s look
Empowering environment
Career opportunities
Practical details
Location: Rotterdam, Netherlands
Period: Year-round
Duration: Typically 6 months, but the duration may vary based on your university requirements and the availability of suitable topics
Applications open: Year-round, depending on topic availability
Robeco has one of the largest quantitative investment teams in the industry with over 50 dedicated portfolio managers, researchers, client portfolio managers and investment specialists. This allows us to simultaneously focus on cutting-edge research, manage portfolios and serve our clients from all corners of the world.
Super Quant internship themes
The internship projects that we offer cover the entire quant model development cycle: analyzing data, programming, analyzing the results, discussing results with researchers and portfolio managers, writing a research report and giving a presentation. All projects are supervised by an experienced empirical researcher from Robeco’s Quantitative Research department.
The internship projects are categorized under five research themes. A high level description of each area of research is given on the pages below, together with some research projects carried out in previous internships.
Factor Investing
Factor investing entails allocating to systematic strategies that historically have shown to predict future returns. Most of the research on factor investing has been conducted on equity markets. The literature for other markets, such as the corporate bond and government bond markets, is still limited, but increasing.
Are you interested in expanding this literature?
Machine Learning
Machine learning methods allow for more flexibility in capturing the relation between predictors and expected returns. Contrary to linear methods, ML can easily leverage on the non-linearities and interactions between predictors. On the other side, ML models are more prone to fit noise, especially in a low signal-to-noise environment which characterizes financial markets.
Are you prepared to navigate this challenge?
Natural Language Processing
From an investment perspective, Natural Language Processing (NLP) is a very useful tool to extract information from unstructured textual data, such as news articles, company reports, earnings call transcripts, etc. Both in academic literature and practitioner research, NLP is getting more and more attention.
Are you able to quantify the qualitative?
Sustainability
Meeting the needs of the present generation without compromising those of generations to come. It’s not just a tick-the-boxes activity for us: Robeco has been a global leader in sustainable investing since 1995. We believe that the one thing we cannot do is nothing.
Are you ready to act?
Trading and Liquidity
Robeco is an asset manager that manages a large suite of quantitative and fundamental investment strategies. The implementation of these strategies results in sizeable transactions, so understanding liquidity and transaction cost drivers is key for optimal implementation.
Are you curious to explore our transactions?
Wilma de Groot
Head of Core Quant Equities, Head of Factor Investing Equities and Deputy Head of Quant Equity, former Super Quant
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The Super Quant internship offers a unique chance to kickstart your career!