Responsibilities:
- 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 the relevant datasets within the global execution platform
- Monitor signal behaviour and model performance over time
- You would lead the full strategy research cycle from signal generation to implementation
Requirements:
- 1-3 years of direct experience as a quant researcher or trader, or in data science/machine learning space.
- PhD holder in a quantitative field such as computer science, 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
- Proven track record in delivering successful systematic strategies