Research Assistant / Student Assistant 20 -40 %
20-40 %
Our new research assistant will develop and maintain a web-based platform to allow end-users to run several of our advanced portfolio optimization methodologies on their own data. We aim to popularize our successful academic constructs and methodologies by sparing the user from needing to program them him- or herself. With this website service, we would gain greater citations on our work, and confirmation from other academics and industry practitioners that our methodologies indeed deliver higher risk-adjusted performance.
1. Required Qualifications:
- Experience with Git, as project collaboration will be facilitated through GitHub.
- Knowledge of the Linux terminal and SSH, for efficient remote work and server management.
- Understanding of server management, particularly in relation to web hosting.
- Competence in database management, with specific emphasis on SQL and Clickhouse.
- Proficiency in Python, including familiarity with Flask, Pandas, and Numpy. This is crucial for developing and testing our models.
- HTML and Bootstrap 5 skills, for the development of project interfaces.
- Familiarity with Matlab, as some of the original code is written in this language.
- Understanding of the basics of C/C++ including Make & CMake, to contribute to parts of the project requiring these languages.
- Experience with Docker, to assist in the future portability of our project components.
- Knowledge of Amazon AWS, for cloud-based project deployment and testing.
- An interest in modern financial tools. While prior experience is not required, a keen interest will be beneficial.
Diversity and inclusion are important to us.