Develop algorithmic computer-driven trading strategies; Apply novel methods to analyze data; Design, implement and train machine learning methods; Explore data sources for discovering statistical properties; Pursue new research topics
Working experience and knowledge of finance are not required. A PhD degree in a quantitative field such as Mathematics, Physics, Computer Science or Engineering is a plus (the interview process can be started if PhD is pending within 3-4 months). Hands-on experience with artificial intelligence is an advantage
Quantitative Analyst IdeaLab GmbH develops algorithmic trading strategies for equity and futures markets. Creating successful strategies for global markets is a challenge demanding a great deal of creativity, competence and determination. Therefore we are always looking for talented graduates in quantitative fields to strengthen our quant team. Your tasks · Development of algorithmic trading strategies · Construction of new trading indicators · Data analysis · Optimization of trading strategies Your profile · Initiative, creativity and willingness to learn · University degree in a quantitative field · Programming skills · Interest in financial markets · Flair for maths and statistics · Strong problem solving skills Working experience in the field is not required. Knowledge of signal processing or pattern recognition is an advantage. We offer an open, informal and creative working environment as well as excellent coffee. Our offices are located in Zurich, Vienna and Munich. We are looking forward to meeting interested applicants! Contact Stefano Actis IdeaLab Research GmbH Bahnhofstrasse 24 8001 Zürich firstname.lastname@example.org
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