Company Description:
Ag global proprietary trading powerhouse, renowned for its cutting-edge technology, is seeking a Lead Machine Learning Researcher to spearhead the development of a centralized ML team, aimed at delivering impactful contributions across trading teams firmwide. The firm is also seeking Individual Contrbibutors.
Role Description:
As the Lead Machine Learning Researcher, you will be responsible for designing, developing, and deploying advanced ML models to enhance performance across a range of market-leading trading teams and asset classes.
In addition to hands-on research, you will play a key leadership role -building, mentoring, and guiding a high-performing team of ML professionals. You will collaborate closely with world-class researchers, traders, and engineers across the firm to integrate innovative machine learning solutions into live trading environments.
This is a rare opportunity to make a high-impact contribution at a top-tier quantitative trading firm recognized for its technical excellence.
Qualifications:
- PhD or Master’s degree in a STEM field (e.g., Computer Science, Mathematics, Physics, Engineering).
- Strong programming skills in Python, with experience in ML frameworks such as PyTorch and TensorFlow.
- 4+ years of experience developing and deploying applied machine learning models, ideally within a trading or quantitative finance environment.
- Solid theoretical grounding in modern machine learning methodologies and model architectures.
Locations: Chicago
*Please note that we will not respond and share information with applicants that we deem unsuitable for the position.
