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Quantbot Technologies

Quantitative investment adviser managing global portfolio

Machine Learning Research Engineer Intern

AI ResearchConfirmed live in the last 24 hours
Internship · Summer 2027New York, NY, USA$86.54 - $96.15 /hrIn-person

About the Job

Requirements

  • Currently pursuing a degree.
  • Comfortable coding in at least one major language such as Python, Rust, or C/C++.
  • Familiarity with modern machine learning frameworks such as PyTorch, TensorFlow, or JAX.
  • Strong engineering skills, including the ability to write clean and efficient code.
  • Ability to work hands-on with model development and deployment.
  • Ability to balance independent work with collaboration, communicate clearly, manage time effectively, and remain open to learning from mentors and peers.

Responsibilities

  • Design and evaluate machine learning systems that support quantitative research.
  • Build scalable pipelines and process large datasets.
  • Apply state-of-the-art machine learning methods to real-world problems in systematic investing.
  • Contribute to model development and deployment.

Desired Qualifications

  • Interest in quantitative finance.
  • Staying current with advances in artificial intelligence and machine learning.
  • Experience optimizing algorithms for specialized hardware.
  • Contributions to open-source projects.

About the Company

Quantbot Technologies

Quantitative investment adviser managing global portfolio

Quantbot Technologies, LP provides investment advisory services and manages a global portfolio using quantitative, data-driven trading models. The firm uses algorithmic strategies to select and execute trades across markets, including foreign exchanges, with support from wholly owned affiliated entities in London (Quantbot Technologies Ltd) and Hong Kong (Quantbot Technologies (HK) Limited). Unlike many firms that rely on traditional research, Quantbot concentrates on systematic, model-based approaches to investment decisions. The firm’s goal is to grow client assets by applying quantitative methods to a worldwide set of markets while ensuring oversight as an SEC-registered adviser.

Company size
51-200
Company stage
Not listed
Total funding
Not listed
Headquarters
New York City, New York
Founded
2009

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