Quantitative Data Analyst
Cboe Global Markets operates global exchanges and financial markets across equities, options, futures, treasuries, foreign exchange, digital asset derivatives and related products. It also provides market data, analytics, execution, clearing, listings and education services to institutional and other sophisticated market participants.
Projects
About Cboe Global Markets
Cboe Global Markets is a global market infrastructure and exchange operator. Its businesses include U.S., Canadian, European and Australian equities markets; U.S. options and futures exchanges; treasury and foreign exchange trading; cryptocurrency derivatives; listings; clearing through Cboe Clear Europe and Cboe Clear U.S.; market data and indices; analytics and execution solutions; and educational resources through The Options Institute. Its customers include exchanges participants, institutional investors, brokers, dealers, issuers, asset managers and other sophisticated market participants.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will analyze exchange and proprietary datasets across equities, FX, options, and futures to uncover market microstructure insights and build liquidity and order book analytics. You will help design and package historical datasets for institutional clients, including cloud distribution via Snowflake and AWS Marketplace, apply statistical and machine learning methods, write product documentation, coordinate product operations across teams, and support testing and quality assurance for launches.
Requirements
- Bachelor's or Master's degree in Quantitative Finance, Computer Science, Data Science, Statistics, Engineering, or a related field
- 2-5+ years of experience in a quantitative, data science, research, or market data role at a trading firm, exchange, fintech, or data provider
- Programming skills in Python and SQL with data analysis and visualization tools
- Familiarity with machine learning techniques such as supervised learning, clustering, and anomaly detection
- Working knowledge of market data APIs, real-time data processing, or related infrastructure
- Legally authorized to work in the United States without sponsorship
Responsibilities
- Analyze market microstructure across equities, FX, options, and futures
- Evaluate exchange and proprietary datasets for trading, risk, and execution use cases
- Build liquidity metrics and order book analytics
- Design and package historical datasets for institutional clients
- Support product specifications and delivery approaches including Snowflake and AWS Marketplace
- Partner with engineering on data ingestion, normalization, and delivery workflows
- Apply statistical and machine learning techniques to identify patterns, anomalies, and predictive signals
- Conduct competitive analysis of market data and alternative data offerings
- Support sales and marketing with analytics and product positioning
- Draft and maintain product specifications, FAQs, release notes, and client documentation
- Manage action items across Product, Technology, Operations, Support, and Sales
- Validate sample files, schemas, and field mappings and support product testing and launches
Benefits
- Eligible for annual incentive compensation
- Eligible for long-term equity programs