2022 Super Quants

Sipke Dom

Sipke Dom

Sipke Dom (The Netherlands) graduated cum laude from the Quantitative Finance program at Erasmus University Rotterdam. Sipke obtained a 9.0 for his thesis on estimating covariance matrices in large universes. His internship supervisors were Bart van der Grient, Clint Howard, Maarten Jansen, and Harald Lohre. After his internship, Sipke started his PhD at the Erasmus School of Economics. We wish Sipke all the best with his PhD!

Matteo Albrito

Matteo Albrito

Matteo Albrito (Italy) graduated cum laude from Quantitative Finance and Insurance at the University of Turin. He obtained a grade of 8 out of 8 for his Master Thesis on earnings revision strategy, supervised by Rob Huisman, Matthias Hanauer, and Menno van Dijk. Matteo will continue his career as a data scientist at Ferrero, and we wish him all the best in his future career!

Eleonora Bergamaschi

Eleonora Bergamaschi

Eleonora Bergamaschi (Italy) wrote her thesis on biodiversity country ranking for government bond investors and was awarded a grade of 8. She was supervised by Johan Duyvesteyn and Casper Zomerdijk. After her Master, she started a postgraduate internship at CINECA in Bologna at the HPC (High Performance Computing) department. CINECA is one of the most important supercomputing centres for scientific research in Italy and she will help develop high-tech solutions for process optimization, data exploration and proof of concept (PoC) implementation exploiting supercomputers.

Sam van Meer

Sam van Meer

Sam van Meer (The Netherlands) graduate summa cum laude from the Master in Econometrics at Erasmus University and got a 9 for his thesis on nowcasting economic activity. His internship supervisors were Martin Martens and Fabio Martinetti. After his internship, Sam has started a PhD at Tinbergen Institute.

Berk Meric

Berk Meric

Berk Meric (Turkey) graduated from the Econometrics and Operations Research program at VU Amsterdam. He obtained an 8.0 for his master thesis modeling online job postings by using NLP techniques. After his graduation, Berk joined ING as a Market Risk Modeller.

Danny Huang

Danny Huang

Danny Huang (The Netherlands) wrote his thesis on the prediction of company earnings using machine learning, for which he was awarded a grade of 9. As a result, he graduated summa cum laude from the Quantitative Finance program at Erasmus University Rotterdam. Danny was supervised by Sebastian Schneider and Tobias Hoogteijling. We are happy that Danny stayed with Robeco’s Quant Equity Research team after his thesis!

Vera Roersma

Vera Roersma

Vera Roersma (The Netherlands) graduated from the Quantitative Finance program of the Erasmus University. She obtained a grade of 8.6 for her master thesis on revenue-based sector classifications, which was supervised by Rob Huisman and Matthias Hanauer. Right after finishing her thesis, Vera joined the Quantitative Research department at Robeco.

Alessandro Terzoli

Alessandro Terzoli

Alessandro Terzoli (Italy) graduated cum laude from the Financial Economics program at Erasmus University Rotterdam. Alessandro obtained 8.9 for his thesis on factor risk premia in the foreign exchange market. His internship supervisors were Guido Baltussen and Lodewijk van Der Linden. After his internship, Alessandro took part in Robeco’s Global Investment Traineeship and is now part of the High Yield team.

Imke Molenaar

Imke Molenaar

Imke Molenaar (The Netherlands) graduated from the Econometrics program of the University of Amsterdam. Imke obtained an 8.5 for her thesis on nowcasting. Her supervisors were Rob Huisman and Joris Blonk. After her internship, Imke joined Oliver Wyman as Actuarial Consultant. We wish Imke all the best in her future career!