Senior Quantitative Researcher (Sports Trading Models) - PT - US

Role Overview

We are looking for a Senior Quantitative Researcher & ML Engineer to review, optimize, and accelerate our existing real-time sports trading predictive model. You'll audit the current model, improve out-of-sample accuracy, and reduce inference latency for production use.

Responsibilities

• Review and audit the existing model architecture and codebase to identify accuracy and performance bottlenecks.
• Optimize the model via advanced feature engineering to extract and utilize the most predictive signals.
• Conduct hyperparameter tuning and apply regularization to improve generalization and prevent overfitting.
• Improve inference speed and computational efficiency for real-time/low-latency production use (e.g., vectorization, model simplification, infra-level optimization).
• Perform rigorous backtesting across market scenarios to validate robustness and accuracy gains.

Required Skills

• Expertise in Python (R a plus) for data analysis and model development.
• Strong background in statistical modeling, ML, and time-series prediction.
• Experience optimizing model inference speed / production ML performance, not just research-stage accuracy.
• Proven experience in quantitative finance, sports trading/betting markets, or other high-stakes predictive modeling.

Nice to Have

• Direct experience with sports betting markets or odds modeling.
• Familiarity with low-latency systems or high-performance computing (C++, Cython, GPU acceleration).
• Understanding of financial markets and economic indicators.