Quantitative Researcher - Machine Learning
DRW , London, Singapore +1
The role
The role involves applying advanced ML techniques to a wide range of forecasting challenges, building scalable ML pipelines, and deploying them in production, while working with high-dimensional, noisy, structured and unstructured datasets. Experience applying ML models in financial markets is desirable, but exceptional candidates with a strong ML background from tech, startups, or academia will also be considered.
What you will do
- Research, design, and deploy robust ML models.
- Build and maintain scalable, production-level ML pipelines.
- Extract signals from large, noisy, real-world datasets.
What you need
- PhD (or exceptional MSc) in ML, Computer Science, or related field.
- Deep theoretical and practical knowledge of core ML algorithms, and comfortable experimenting with model architectures, feature engineering, and hyperparameter tuning to produce high-performance and resilient models.