Quantitative Researcher
Indexed description
Key Responsibilities
In this role, you can apply your quantitative skills to:
- Research, build, and test predictive signals
- Identify and experiment with ideas to improve existing models
- Apply different machine learning models to existing features and data sets
- Evaluate new machine learning techniques on our existing time-series data sets
- Explore different methods to monetize signals
- Integrate predictive signals into new trading models
What We Are Looking For
- Masters or equivalent academic degree in Statistics, Applied Mathematics Computer Science/Machine Learning, or other highly quantitative fields
- A successful history of manipulating, processing and extracting value from large datasets
- Professional experience building predictive models using machine learning
- Experience with machine learning toolkits
- Strong practical computing skills in Python or C++
Create a free Caio profile to unlock more results and save your role and location preferences.
Unlock free search