CME Group · 3 weeks ago
Research and Product Development PhD Student Intern (Part-Time, 12-Month Program)
New York - 300 Vesey Street
Internship
Hybrid
Intern
$23.17/hr - $38.65/hrCME Group is the world’s leading derivatives marketplace, focusing on data and analytics. This internship provides a unique opportunity for a PhD candidate to contribute to the modernization of CME’s core analytics and the development of AI-driven financial mathematical models.
FinanceFinancial ServicesMarketplaceStock Exchanges
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
ML models trained on massive historical market datasets
Embedding models for numerical, textual, and transactional data
Agent-based systems and agent-communication protocols
Market microstructure simulations powered by intelligent agents
Predictive analytics and anomaly detection frameworks
Hybrid models combining financial mathematics with ML architectures
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
Company
CME Group
CME Group is a diverse derivatives marketplace that manages risk and capture opportunities.
Founded in 1848
1001-5000 employees
H1B Sponsorship
CME Group has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2)
2024 (1)
2023 (1)
2022 (3)
2021 (2)
2020 (9)
Funding
Current Stage
Public CompanyTotal Funding
$1BKey Investors
Google
2021-11-04Post Ipo Equity· $1B
2002-12-06IPO
Leadership Team
Lynne Fitzpatrick
President and CFO
Julie Holzrichter
Chief Operating Officer
Recent News
Business Insider
2026-01-06
2025-12-26
Morningstar.com
2025-12-24
Company data provided by crunchbase