Data Science Intern

WorldQuant
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Job Description

WorldQuant is seeking exceptional individuals to join the firm as a Data Science Intern. While prior finance experience is not required, a successful candidate must possess a strong interest in learning about finance and global markets.

  • Perform analysis and generate models of financial datasets using machine learning techniquesUse
  • machine learning techniques to analyze and build financial data models
  • Verify the integrity of unstructured data and turn data into potentially valuable
  • insights
  • Develop and create data that seek to predict the movement of financial market by applying variety of algorithmic techniques
  • Develop and create data that seek to predict the movement of financial market by applying various algorithmic techniques

WHAT WE OFFER You will get:

  • Top performers during internship may be eligible for a full-time offer
  • Competitive internship compensationCompetitive
  • internship salary
  • Join our established mentoring
  • program and receive one-on-one guidance by an accomplished advisor during the internship
  • Develop a global vision with opportunities to exchange ideas with various teams in WorldQuant global offices
  • Flexibility of self-managed work progress, comfortable working environment, and rich employee

activities

WHAT YOU'LL BRING You need to have:

  • Pursuing a BS, MS or Ph.D. degree from a leading university in related fields (eg Electrical Engineering, Physics, Computer Science, Mathematics, Financial Engineering, Big Data) Engineering, physics, computer science, mathematics, financial engineering, big data, etc.)
  • Candidates should be graduating in late 2024 or 2025
  • Candidates should be graduating in late 2024 or 2025
  • Demonstrated ability of at least one programming language, eg C++, python, etc.; familiar with systems like Linux/Unix
  • Demonstrated ability of at least one programming language, eg C++, python, etc.; familiar with systems like Linux/Unix
  • Research experience in NLP, Deep Learning is a plus
  • Candidates with research experience in natural language processing, deep learning, artificial intelligence, etc. are preferred
  • Good English reading and writing skillsGood
  • English reading and writing skills

If any issues encountered accessing the online application webpage or if you have any questions, please mail your latest CV to or contact us at WQChinaIntern@worldquant.com

Send to WQChinaIntern@worldquant.com

The position is based in our research office in Beijing or Shanghai .

The expected work location is the research office in Beijing or Shanghai .

By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction.

Copyright © 2024 WorldQuant, LLC. All Rights Reserved.

WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

Company Info.

WorldQuant

WorldQuant, LLC emerged in 2007 as a quantitative investment management firm stemming from Millennium Management in New York City. Igor Tulchinsky, its Belarusian-born founder, had been a portfolio manager at Millennium since 1995. Specializing in statistical arbitrage, Tulchinsky brought along his team of researchers and quantitative traders to WorldQuant. The firm maintained continuity by utilizing Millennium's corporate infrastructure and trad

  • Industry
    Artificial intelligence,Investment services
  • No. of Employees
    1000
  • Location
    Old Greenwich, Greenwich, CT, USA
  • Website
  • Jobs Posted

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