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Benefits offered by this job
Discretionary bonus
Paid leave
Insurance benefits
Job summary
IMC Trading in New York is seeking a Quantitative Researcher to develop and deploy machine learning models aimed at improving trading performance. The ideal candidate will have a PhD or Master’s in a quantitative field and at least 2 years of experience in applied ML. A strong background in Python and familiarity with ML frameworks like PyTorch and TensorFlow are essential. The role offers a base salary range of $250,000 - $300,000 and includes a discretionary bonus and benefits.
Qualifications
PhD or Master’s in Engineering, Math, Statistics, Computer Science, or related quantitative field.
2+ years of experience building applied ML models; previous experience in trading environment preferred.
Strong programming skills in Python; proficiency in ML libraries such as PyTorch, TensorFlow, and/or high-performance libraries like Jax.
Responsibilities
Design and deploy machine learning models to enhance trading performance across various asset classes.
Research, test and prototype new algorithmic ideas; deploy advanced ML techniques applicable to market prediction.
Collaborate with quantitative traders, researchers, and developers to translate market insights into data-driven features.
Skills
Machine Learning
Statistical Analysis
Feature Engineering
Python Programming
Collaboration
Education
PhD or Master’s in Engineering, Math, Statistics, Computer Science
Tools
PyTorch
TensorFlow
Jax
Job description
IMC Trading in New York is seeking a Quantitative Researcher to develop and deploy machine learning models aimed at improving trading performance. The ideal candidate will have a PhD or Master’s in a quantitative field and at least 2 years of experience in applied ML. A strong background in Python and familiarity with ML frameworks like PyTorch and TensorFlow are essential. The role offers a base salary range of $250,000 - $300,000 and includes a discretionary bonus and benefits.