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WorldQuant

Global quantitative asset management via algorithms

Data Scientist Intern

Data ScienceConfirmed live in the last 24 hours
InternshipNo salary listedIn-person

About the Job

Requirements

  • Pursuing a B.S., M.S., or Ph.D. degree from a leading university in a related field, such as Electrical Engineering, Physics, Computer Science, Mathematics, Financial Engineering, or Big Data.
  • Candidates should be graduating in 2026 or 2027.
  • Demonstrated ability in at least one programming language, such as C++ or Python, and familiarity with systems such as Linux/Unix.
  • Good English reading and writing skills.

Responsibilities

  • Perform analysis and generate models of financial datasets using machine learning techniques.
  • Verify the integrity of unstructured data and turn data into potentially valuable insights.
  • Develop and create data intended to predict financial market movements by applying a variety of algorithmic techniques.

Desired Qualifications

  • Research experience in natural language processing or deep learning is a plus.

About the Company

WorldQuant

Global quantitative asset management via algorithms

WorldQuant is a global quantitative asset management firm that uses data, talent, and predictive algorithms to manage investments for institutional clients. Its approach centers on quantitative research and algorithmic trading, applying mathematical models to identify opportunities and execute trades in financial markets. The company earns management and performance fees based on assets under management and investment returns. What sets WorldQuant apart is its scale and culture: a worldwide footprint with over 1,000 professionals across 27 offices, a strong emphasis on data-driven research and experimentation, and a commitment to equal opportunity where employees at all levels can contribute ideas. The firm’s goal is to deliver reliable, scalable investment performance for pension funds, endowments, sovereign wealth funds, and other institutions by closely linking research, technology, and trading execution to generate client returns.

Company size
1,001-5,000
Company stage
Not listed
Total funding
$148.5M
Headquarters
Greenwich, CT
Founded
2007

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