The Quantitative Researcher is responsible for creating predictive signals by analyzing large datasets, identifying statistical patterns, and implementing signals within the global execution platform. They will also monitor the performance of these models over time and collaborate with other researchers to discuss methodologies and results.
Your future role within QRT
- Your core objective is to create high quality predictive signals.
- By leveraging access to large and diversified datasets you will identify statistical patterns and opportunities.
- Share and discuss research results, methodology, data sets and processes with other researchers.
- Implement the signals and relevant datasets within the global execution platform.
- Monitor signal behaviour and model performance over time.
Your present skillset
- Advanced degree in a quantitative field such as data science, statistics, mathematics, physics or engineering.
- Strong knowledge in statistics, machine learning, NLP or AI techniques is a plus.
- Capacity to multi-task in a fast paced environment while keeping strong attention to detail.
- Coding skills required in at least one leading programing language (Python, R, Matlab and /or C++, C#).
- Experience in exploring large datasets across multiple time frames is a plus.
- Intellectual curiosity to explore new data sets, solve complex problems, drive innovative processes and connect the dots between multiple fields.
- Capacity to work with autonomy within a collegial and collaborative environment.
Top Skills
C#
C++
Matlab
Python
R
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