About the Role:
We are looking for a motivated Machine Learning Researcher to help our quantitative researchers build, test, and deploy predictive models. You will be instrumental in transforming research ideas into robust, production-ready data pipelines and tools that directly impact our trading strategies.
Key Responsibilities:
- Collaborate with researchers to implement, backtest, and optimize machine learning models.
- Develop and maintain scalable data pipelines for feature engineering and model training.
- Write clean, efficient, and well-documented code in Python.
- Help improve the performance and reliability of our research infrastructure and backtesting frameworks.
- Analyze large datasets (financial and alternative data) to generate insights.
What We're Looking For:
- Bachelor's degree in Computer Science, Engineering, or a related technical field.
- 2+ years of experience in a data-intensive role or strong relevant project experience.
- Solid programming skills in Python (NumPy, pandas, scikit-learn).
- Basic understanding of machine learning concepts and statistics.
- Familiarity with SQL and working with large datasets.
- A practical, problem-solving mindset and eagerness to learn.