Quantitative Researcher
You'll develop predictive signals using statistical analysis, machine learning, NLP, and AI techniques on large datasets, working with Python, R, Matlab, or C++/C#. You'll lead the full research cycle from signal generation through implementation within QRT's global execution platform, monitoring model performance while collaborating with researchers, technologists, and traders across the organization.
Free Tailor for ATS: 10/10 runs left
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 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
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 capacity to communicate with technologists, data scientists and traders across the globe.
Proven track record in delivering successful systematic strategies.