Senior Quantitative Researcher & ML Engineer - FT - Worldwide

Role Overview

We are looking for a skilled Senior Quantitative Researcher & ML Engineer to enhance our real-time predictive model. Your primary objective will be to optimize model performance through advanced techniques, ensuring high out-of-sample accuracy and reliability.

Responsibilities

• Optimize an existing real-time predictive model by employing advanced feature engineering techniques to extract and utilize the most relevant data features.
• Conduct hyperparameter tuning to fine-tune model parameters for optimal performance.
• Apply regularization methods to prevent overfitting and improve model generalization.
• Perform rigorous backtesting to validate model predictions and ensure robustness in various scenarios.

Required Skills

• Expertise in Python and R for data analysis and model development.
• Strong background in statistical modeling and machine learning techniques.
• Proven experience in time-series prediction, quantitative finance, or high-stakes predictive modeling.

Nice to Have

• Experience with additional programming languages or tools relevant to quantitative research.
• Understanding of financial markets and economic indicators.