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Trexquant

Quantitative trading via ML models

Quantitative Researcher Intern

Quantitative ResearchConfirmed live in the last 24 hours
Internship · Summer 2027Beijing, ChinaNo salary listed

About the Job

Requirements

  • Passion for machine learning and quantitative finance.
  • Strong problem-solving skills and teamwork ability.
  • Proficiency in Python.
  • Knowledge of financial accounting is a plus.
  • Availability for a full-time, on-site internship in Beijing from July to September 2027.
  • Good English communication skills.

Responsibilities

  • Explore and learn about datasets used to develop signals for systematic quantitative strategies.
  • Investigate and implement academic research in machine learning and quantitative finance.
  • Design features from novel datasets to improve the prediction power of existing models.
  • Apply machine learning techniques to alpha discovery and portfolio construction.

Desired Qualifications

  • Prior experience in quantitative research.

About the Company

Trexquant

Quantitative trading via ML models

Trexquant is a quantitative finance firm that builds multi-asset portfolios using machine learning. It develops investment and research tools that ingest a wide range of data variables to create complex trading models and strategies, which in turn generate trading signals. These signals guide decisions across global markets. The product works by applying advanced machine learning to large datasets to create predictive models and rule-based strategies, which drive portfolio construction and trading actions through the firm’s platform. Trexquant differentiates itself by emphasizing the breadth of data it uses and the depth of machine-learning driven models to craft multi-asset portfolios, aiming to produce signals that outperform global market conditions. The company’s goal is to generate investment performance that beats benchmarks by using data-driven signals and diversified, multi-asset strategies.

Company size
51-200
Company stage
Not listed
Total funding
Not listed
Headquarters
Stamford, CT
Founded
2012

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