full-time
Quantitative Developer
Upward Trend
- Employer
- Upward Trend
- Location
- London
- Working pattern
- on-site
About the role
Design, train, and deploy large-scale machine learning models and improve end-to-end pipelines for data processing, distributed computation, parameter optimization, and model validation. Enhance research and signal-development infrastructure, support reliable migration of models into production, and collaborate with investment professionals and technology teams. A master's degree, PhD, or postdoctoral qualification in a quantitative discipline is required. The role seeks experience with machine learning on complex datasets, distributed computing, strong Python and Linux development, and quantitative research; C++, agentic AI, backtesting, and production deployment experience are advantageous.