Senior Quantitative Data Analyst
About The Position
Cboe Global Markets is seeking a Senior Quantitative Analyst with a product development mindset to analyze exchange datasets across equities, FX, options, and futures. The role focuses on identifying, structuring, and enhancing datasets for commercial use, turning complex market data into practical, client-ready products. The analyst will apply quantitative finance, data analytics, and statistical modeling to support trading, risk, execution, research, and compliance use cases. The position includes developing and packaging historical datasets for institutional clients, supporting product specifications and delivery through channels such as Snowflake and AWS Marketplace, and partnering with engineering teams on data ingestion, normalization, and delivery workflows. The analyst will also use statistical and machine learning methods to find patterns, anomalies, and predictive signals, and will engage internal teams and clients to understand data needs and commercial use cases. This role follows a four-day-in-office work model at Cboe's Chicago headquarters in the Old Post Office district. The position is not eligible for visa sponsorship; candidates must be legally authorized to work in the United States without current or future employer sponsorship.
Requirements
- Bachelor’s or Master’s degree in Quantitative Finance, Computer Science, Data Science, Statistics, Engineering, or a related field.
- 5–8+ 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 experience in 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.
Nice To Haves
- Exposure to cloud-based data platforms such as Snowflake, AWS, or GCP.
- Prior experience at a market data provider, exchange, or trading analytics firm.
- Familiarity with cloud-based data processing using AWS, GCP, or Azure and distributed computing frameworks.
- Ability to apply machine learning in finance, particularly in predictive modeling and trading signals.
Responsibilities
- Analyze market microstructure across equities, FX, options, and futures to identify actionable insights.
- Evaluate exchange and proprietary datasets for trading, risk, and execution use cases.
- Build liquidity metrics, order book analytics, and related measures to assess market behavior.
- Help design and package historical datasets for institutional clients, focusing on usability and scale.
- Support product specifications and data delivery approaches, including cloud distribution channels such as Snowflake and AWS Marketplace.
- Ensure datasets are structured for quantitative research, execution analysis, and compliance needs.
- Partner with engineering teams on data ingestion, normalization, and delivery workflows.
- Apply statistical and machine learning techniques to identify patterns, anomalies, and predictive signals.
- Use modeling, regression, and clustering methods to improve dataset quality and insight generation.
- Work with internal teams and clients to understand data needs and commercial use cases.
- Conduct competitive analysis of market data and alternative data offerings.
- Support sales and marketing with analytics and product positioning for client discussions.
Benefits
- Fair and competitive salary and incentive compensation packages, with upside for overachievement.
- Generous paid time off, including vacation, personal days, sick days, and annual community service days.
- Health, dental, and vision benefits, including access to telemedicine and mental health services.
- 2:1 401(k) match, up to an 8% match immediately upon hire.
- Discounted Employee Stock Purchase Plan.
- Tax Savings Accounts for health, dependent, and transportation expenses.
- Employee referral bonus program.
- Volunteer opportunities to give back to communities.
- Complimentary lunch, snacks, and coffee in Cboe offices.
- Paid tuition assistance and education opportunities.
- Generous charitable giving company match.
- Paid parental leave and fertility benefits.
- On-site gyms and discounts to other fitness centers.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
