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Benefits offered by this job
Discretionary bonus
Paid leave
Insurance benefits
Job summary
A leading trading firm in Chicago seeks quantitative researchers to apply machine learning and deep learning to trading challenges. Responsibilities include designing models to enhance trading performance and collaborating with traders to derive data-driven insights. The ideal candidate holds a PhD or Master’s in a quantitative field and has at least 2 years of experience in building ML models. A competitive salary between $250,000 and $300,000, along with benefits, is offered.
Qualifications
2+ years of experience building applied ML models.
Previous experience in a trading environment preferred.
Strong publication track record at ICML, ICLR, NeurIPS, or equivalent.
Responsibilities
Design and deploy machine learning models to enhance trading performance.
Collaborate with traders and developers to translate market insights.
Manage data acquisition and preprocessing for features.
Skills
Machine Learning
Deep Learning
Python
Statistical Analysis
Collaborative Problem-Solving
Education
PhD or Master’s in Engineering, Math, Statistics, Computer Science, or related quantitative field
Tools
PyTorch
TensorFlow
Jax
Job description
A leading trading firm in Chicago seeks quantitative researchers to apply machine learning and deep learning to trading challenges. Responsibilities include designing models to enhance trading performance and collaborating with traders to derive data-driven insights. The ideal candidate holds a PhD or Master’s in a quantitative field and has at least 2 years of experience in building ML models. A competitive salary between $250,000 and $300,000, along with benefits, is offered.