Data Science Intern: AI-Driven Finance & Markets (NYC)

Intercontinental Exchange

New York (NY)

Presencial

USD 40 000 - 57 000

Tempo integral

Há 10 dias

Uma candidatura completa num minuto

Currículo e carta de apresentação personalizados, prontos a enviar.

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Resumo da oferta

Intercontinental Exchange, Inc. is offering a Data Science Intern role in New York to support AI-driven research and development of quantitative models for financial markets. You will collaborate with teams to explore data sources and apply machine learning techniques, gaining hands-on experience in a dynamic, program-based environment.

Two schedule options exist (May–Aug or June–Aug 2027). Interns will work full-time at the New York office (11 Wall Street) and gain exposure to financial

Qualificações

  • Must be currently enrolled in a degree program and advancing to their junior year.
  • Interest in financial markets and eagerness to learn more.
  • Experience with AI tools such as Claude, Codex, or Copilot, with an interest in learning more.
  • Deep knowledge of Python with SQL.

Responsabilidades

  • Engage with the team to learn about all tools and data sources.
  • Meet with business partners and contribute to projects that drive significant value.
  • Use AI tools to research, prototype, and validate quantitative models for financial data products.
  • Analyze structured and alternative datasets to uncover relationships with financial markets.
  • Apply statistical and machine learning techniques to model market behavior and pricing.
  • Perform additional duties and contribute to projects as assigned.

Conhecimentos

Python
SQL
AI tools

Formação académica

Enrolled in accredited university degree program

Ferramentas

Claude
Codex
Copilot

Descrição da oferta de emprego

Intercontinental Exchange, Inc. is offering a Data Science Intern role in New York to support AI-driven research and development of quantitative models for financial markets. You will collaborate with teams to explore data sources and apply machine learning techniques, gaining hands-on experience in a dynamic, program-based environment.

Two schedule options exist (May–Aug or June–Aug 2027). Interns will work full-time at the New York office (11 Wall Street) and gain exposure to financial

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