A global market leading prop firm is looking for a ML researcher to join their growing team. Within this role you focus on driving profits with machine learning using advanced coding systems and ML algorithms. You’ll also be driving the application of deep learning in trading, where your innovative, research-driven hypotheses deliver immediate returns and provide you a collaborative and innovative environment where you will have full ownership of greenfield projects.
Main Responsibilities:
- Work alongside an elite team of software and data engineers, driving the evolution of cutting-edge research toolkits and data pipelines
- Design, build, and deploy machine learning models to optimize performance in key areas of quantitative trading
- Conduct rigorous back-tests and simulations to validate new trading models, test market hypotheses, and enhance the efficiency and accuracy of existing trading strategies
- Stay informed about the latest research and publications, engaging in discussions about potential applications with academically focused software and research teams
Candidate Requirements
- Solid understanding of statistical modelling, time series analysis, and hypothesis testing
- Proven experience developing and implementing machine learning algorithms, particularly in finance or quantitative trading
- Strong programming skills and experience working with Python and/or C++
- MSc or PhD in machine learning, computer science or related field
If you are interested, please apply for a confidential chat.