The Data Science team’s mission is to provide advanced analytics, intelligent automation, and deep insights relating to the economic markets, clients, and products in which CME Group operates. The team is responsible for cutting-edge data science, machine learning, generative AI integration, and developing next-generation data products.
We bring diverse skill sets together (statistics, LLMs, derivatives expertise, ingenuity, and modern AI engineering) in a highly collaborative, collegial manner. As one of the key thought leadership groups at the exchange, this team serves business leadership to identify, optimize, and promote significant market and client opportunities using state-of-the-art technology.
Principal Accountabilities:
AI & Machine Learning Innovation: Develop and deploy applications utilizing machine learning, time series, neural networks, and Large Language Models (LLMs) to create intelligent data products for derivatives financial market participants.
Generative AI & NLP Solutions: Architect and optimize natural language processing and GenAI workflows (e.g., Retrieval-Augmented Generation (RAG), agentic workflows, text/sentiment classification) to power advanced analytics, semantic search ranking, and hyper-personalized user experiences.
Inference & Performance Optimization: Scale and optimize AI model inference for production environments, ensuring low latency, cost efficiency, and high throughput on cloud infrastructure.
Data & Feature Engineering: Gather, process, and clean large-scale structured and unstructured data. Create, optimize, and maintain robust data, feature, and embedding pipelines across multiple formats.
AI-Driven Development: Leverage modern AI coding tools (e.g., GitHub Copilot, Cursor) to accelerate development lifecycles, maintain high code quality, and implement robust testing patterns.
Collaboration & Business Alignment: Partner closely with senior stakeholders and data scientists to translate complex, data-driven business requirements into actionable, AI-powered solutions.
Analytics & Visualization: Visualize key performance metrics using Looker, Tableau, or advanced Python visualization libraries, presenting clear, data-driven narratives to high-level business leaders.
Cloud Infrastructure: Build and maintain the infrastructure required for optimal extraction, transformation, and loading (ETL) of data from a wide variety of sources using SQL, vector databases, and GCP "big data" technologies.
Skills and Software Requirements:
Core Data Science: Fluent in Python, Pandas, traditional Machine Learning, and Cloud Computing.
Generative AI Expertise: Hands-on experience working with foundation models (OpenAI, Anthropic, Gemini, or open-source alternatives like Llama), prompt engineering, fine-tuning, and framework ecosystems (e.g., LangChain, Google ADK).
AI Engineering & Inference: Understanding of model quantization, caching strategies, vector databases (e.g. BigQuery Vector Search), and deploying models for efficient inference.
Modern Development Practices: Strong programming skills with a proven track record of incorporating AI coding assistants into day-to-day workflows to boost productivity and code reliability.
Software Engineering Fundamentals: Proficiency with Git, CI/CD pipelines, and Linux environments.
Cloud Stack: Experience with Cloud Computing Technologies, with a strong preference for Google Cloud Platform (GCP) and its AI suite (Vertex AI, BigQuery).
Domain Knowledge: A strong analytical mindset with the ability to decipher complex business problems. Understanding of the commodity and financial derivative markets is highly preferred.
CME Group: Where Futures are Made
CME Group is the world’s leading derivatives marketplace. But who we are goes deeper than that. Here, you can impact markets worldwide. Transform industries. And build a career by shaping tomorrow. We invest in your success and you own it – all while working alongside a team of leading experts who inspire you in ways big and small. Problem solvers, difference makers, trailblazers. Those are our people. And we’re looking for more.
At CME Group, we embrace our employees' unique experiences and skills to ensure that everyone’s perspectives are acknowledged and valued. As an equal-opportunity employer, we consider all potential employees without regard to any protected characteristic.
Important Notice: Recruitment fraud is on the rise, with scammers using misleading promises of job offers and interviews to solicit money and personal information from job seekers. CME Group adheres to established procedures designed to maintain trust, confidence and security throughout our recruitment process. Learn more here.
Skills Required
- Fluent in Python
- Pandas
- SQL
- Traditional machine learning (modeling, evaluation)
- Hands-on experience with foundation models (OpenAI, Anthropic, Gemini, Llama or open-source alternatives)
- Prompt engineering, fine-tuning, and framework ecosystems (e.g., LangChain, Google ADK)
- Vector databases and embedding pipelines (e.g., BigQuery Vector Search)
- Model quantization, caching strategies, and deploying models for efficient inference
- Cloud computing experience
- Experience with GCP including Vertex AI and BigQuery
- Git, CI/CD pipelines, and Linux environments
- Visualization using Looker, Tableau, or advanced Python visualization libraries
- Familiarity leveraging AI coding assistants (GitHub Copilot, Cursor)
- Understanding of commodity and financial derivative markets
CME Group Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about CME Group and has not been reviewed or approved by CME Group.
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Retirement Support — U.S. offerings include both a 401(k) and a company-funded cash-balance pension, strengthening long-term financial security. This dual-track structure is highlighted as a notable differentiator among private employers.
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Leave & Time Off Breadth — PTO and holiday schedules are described as generous, with ample time off and carryover commonly highlighted. This breadth of leave meaningfully enhances perceived total rewards.
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Flexible Benefits — A flexible, hybrid work model applies to many roles, increasing day-to-day usability of the package. Flexibility is framed as a standard feature rather than an exception.
CME Group Insights
What We Do
As the world's leading derivatives marketplace, CME Group (www.cmegroup.com) is where the world comes to manage risk. CME Group exchanges offer the widest range of global benchmark products across all major asset classes, including futures and options based on interest rates, equity indexes, foreign exchange, energy, agricultural commodities, metals, weather and real estate. CME Group brings buyers and sellers together through its CME Globex® electronic trading platform and its trading facilities in New York and Chicago. CME Group also operates CME Clearing, one of the world’s leading central counterparty clearing provider in the world, which offers clearing and settlement services for exchange-traded contracts, as well as for over-the-counter derivatives transactions through CME ClearPort®. These products and services ensure that businesses everywhere can substantially mitigate counterparty credit risk in both listed and over-the-counter derivatives markets.
