Your future role within QRT
- Your core objective is to construct trading portfolios in equity and execute equity systematic strategies
- By carrying analysis on diversified datasets and market dynamics (slippage/access/pattern), you will identify trading opportunities in equity portfolios
- 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
Your present skillset
- At least 4 years of relevant experience
- Strong understanding of equity market dynamics (slippage/access/pattern) and knowledge in equity portfolio construction
- 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 programming 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
- Strong communication skills - collaborate with technologists, data scientists and traders across the globe
- Proven track record in delivering successful systematic strategies
