Senior Research Engineer
Core
Lead the development of a global research framework for training and deploying trading models, partnering with researchers to build systematic trading strategies.
Role type
Senior Research Engineer (MLOps & Research Framework)
Builds
Production trading models and a global research framework for data-driven systematic trading
Domain
Proprietary trading / Quantitative finance
Deliverable
production ML models
Required skills
Machine Learning, Statistics, Python, MLOps, Data preprocessing, Model training, Model deployment, CI/CD, Cloud platforms, Containerization
Preferred skills
Supervised learning, Backtesting, Hypothesis testing, Alpha signal development
Technologies
Python, numpy, pytorch, polars, pandas, ray, AWS, Azure, GCP, Docker, Kubernetes
Responsibilities
Lead development and global rollout of the research framework for defining and training models; Partner with Quantitative Researchers to test hypotheses and tune data-driven systematic trading strategies
Seniority
Senior, hands-on IC