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Machine Learning Quant Researcher

  • Machine Learning Quant Researcher job type Posted on: Nov 06, 2026
  • Machine Learning Quant Researcher experience level Hedge Fund
  • Machine Learning Quant Researcher employment type New York, New York
  • Machine Learning Quant Researcher employment type Onsite
  • Machine Learning Quant Researcher salary Full-time

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Job Title :

Machine Learning Quant Researcher

Job Type :

Full-Time

Job Location :

New York New York United States

Remote :

No

Jobcon Logo Job Description :

Responsibilities:Conduct original research in machine learning, developing novel algorithms and models to build trading strategies. Collaborate with teams to design, implement, and evaluate machine learning models. Stay updated with the latest advancements in AI/ML technologies and publish findings. Mentor and guide junior researchers in machine learning projects. Contribute to the development of intelligent systems across various domains, such as natural language processing and robotics. Qualifications:Ph.D. or Master’s degree in Computer Science, Mathematics, Statistics, or a related field. Minimum of 3-5 years of experience in machine learning, deep learning, or AI research. Proficiency in programming languages such as Python, R, or Julia, with experience in ML frameworks (e.g., TensorFlow, PyTorch). Strong background in mathematical modeling, probability, and statistics. Excellent communication skills, including technical communication for non-technical audiences.

Jobcon Logo Position Details

Posted:

Nov 06, 2026

Reference Number:

10440_4461204917

Employment:

Full-time

City:

New York

Job Origin:

APPCAST_CPC

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Responsibilities:Conduct original research in machine learning, developing novel algorithms and models to build trading strategies. Collaborate with teams to design, implement, and evaluate machine learning models. Stay updated with the latest advancements in AI/ML technologies and publish findings. Mentor and guide junior researchers in machine learning projects. Contribute to the development of intelligent systems across various domains, such as natural language processing and robotics. Qualifications:Ph.D. or Master’s degree in Computer Science, Mathematics, Statistics, or a related field. Minimum of 3-5 years of experience in machine learning, deep learning, or AI research. Proficiency in programming languages such as Python, R, or Julia, with experience in ML frameworks (e.g., TensorFlow, PyTorch). Strong background in mathematical modeling, probability, and statistics. Excellent communication skills, including technical communication for non-technical audiences.

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