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CME Group
·
December 18, 2025
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Research and Product Development PhD Student Intern (Part-Time, 12-Month Program)

New York, NY
Internship
Onsite
$23.17/hr - $38.65/hr
Intern
CME Group is the world’s leading derivatives marketplace, focusing on data and analytics. They are seeking a part-time PhD student intern to contribute to the modernization of CME’s core analytics and the development of new AI-driven financial mathematical models over a 12-month period.

Responsibilities

  • Review and where appropriate suggest improvements to analytical models using modern numerical and statistical methods
  • Document and validate models in alignment with governance and regulatory standards
  • Work with technology to prepare models for deployment using GCP infrastructure
  • Help to document and at times direct conversion of legacy codebases into robust, maintainable analytics libraries
  • Ensure mathematical transparency, reproducibility, and version control
  • Collaborate with Product, Clearing, Data Science, Index, and Engineering teams
  • Conduct quantitative research across CME’s datasets
  • Build analytical pipelines using Python + GCP tooling
  • Develop visualizations and explainers for internal and client use
  • Support monthly and quarterly research themes
  • Present written and verbal findings to senior leadership
  • Help shape best practices for model governance, testing, and production readiness

Qualification

Required

  • PhD candidate in mathematics, statistics, physics, engineering, computer science, quantitative finance, econometrics, or a related field
  • Strong foundation in financial mathematics (stochastic calculus, derivatives modeling, numerical methods, or equivalent)
  • Proficiency in Python and scientific computing libraries
  • Ability to communicate complex concepts clearly in writing
  • Strong analytical discipline and attention to detail
  • Self-starter comfortable working across multiple business lines

Preferred

  • Experience with GCP: BigQuery, Vertex AI, Dataflow, C++
  • Experience with ML, embeddings, or agent-based systems
  • Background in market microstructure, derivatives, or high-frequency data
  • Prior publications, technical reports, or model documentation

Benefits

  • Comprehensive health coverage
  • Mental health benefit
CME Group is a diverse derivatives marketplace that manages risk and capture opportunities.
Glassdoor
4.0
Founded in 1848
Chicago, Illinois, USA
1001-5000 employees
http://www.cmegroup.com
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