In this exciting entry-level opportunity at the core of asset management and banking business, we offer you the opportunity to apply your graduate-level education and develop relevant skills.
In addition, you will have the opportunity to write a master's thesis and be co-supervised in the team.
The following exciting tasks await you :
Support the quantitative analysis team in developing models for strategic asset allocation
Research, code and statistically evaluate models for expected return and risk across asset classes
Further develop, research, code and evaluate internally developed optimization engines
Being enrolled in Master program in quantitative discipline (Quantitative Finance, Economics, STEM), or recently graduated and interested in internship
Excellent knowledge of econometrics, statistics, and machine learning
Interest in financial markets, quantitative finance, macroeconomics, or macro-finance
Good coding skills (e.g. in Python), being aware of coding best practices and version control systems (e.g. Git)
Excited to apply state-of-the-art research to solve practical asset management problems.
Innovative self-starter and problem solver; team player with excellent communication skills