Proficiency in python, pytorch, polars, pandas, ray
This role offers a unique opportunity to join a leading proprietary trading firm with an entrepreneurial and innovative culture
Job Summary
This role offers a unique opportunity to join a leading proprietary trading firm with an entrepreneurial and innovative culture.
You will help lead the development and global rollout of a research framework for defining and training models through various optimization procedures.
The position requires partnering with Quantitative Researchers to test hypotheses and tune data-driven systematic trading strategies.
Matching Summary
This role offers a unique opportunity to join a leading proprietary trading firm with an entrepreneurial and innovative culture.
Skills & Requirements
Must-have
8+ years MLOps or Research Engineering experience
Advanced degree in Machine Learning or Statistics
Proficiency in Python, PyTorch, Polars, Pandas, Ray
Experience designing end-to-end ML pipelines
Strong background in mathematics and statistics
Nice-to-have
Entrepreneurial and innovative culture fit
Experience with cloud platforms like AWS or GCP
Knowledge of containerization technologies
Understanding of Agile and CI/CD practices
Ability to partner with Quantitative Researchers
Key Requirements
Master's or PhD in Machine Learning, Statistics, Physics, or Computer Science
8+ years of hands-on experience in MLOps, Research Engineering, or ML Research
Strong proficiency in Python and related libraries