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Quantbot Technologies

Quantitative investment adviser managing global portfolio

Data Trading Analyst Intern

Quantitative ResearchConfirmed live in the last 24 hours
Internship · Summer 2027Hong KongNo salary listedIn-person

About the Job

Requirements

  • Enrollment in a Bachelor's, Master's, or PhD program in Computer Science or a related field.
  • Advanced proficiency in Python.
  • Experience with Linux or UNIX environments.

Responsibilities

  • Conduct exploratory data analysis on alternative datasets to explore them for potentially predictive signals.
  • Perform statistical analysis including correlation studies, regression analysis, and time-series modeling.
  • Build ETL processes to integrate new data sources with existing research infrastructure.
  • Develop data quality monitoring tools to detect anomalies and ensure dataset integrity.
  • Optimize existing scripts for performance and scalability.
  • Build internal Python libraries or tools to standardize common analytical workflows across the team.
  • Evaluate new datasets and use the cloud environment to write and maintain Python scripts.
  • Work directly with the Hong Kong team to process and assess new datasets and help develop new tools and infrastructure.

Desired Qualifications

  • Knowledge of SQL queries and any relational database systems is preferred.
  • Finance knowledge is beneficial but not essential.

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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