Cboe
Senior Quantitative Data Analyst
Chicago, IL · Senior
No sponsorship$117k-$151kDetected 30 days ago
PythonSQLSnowflakeAWSGCPAzureMachine LearningData AnalysisData ScienceStatisticsResearchLeadershipCommunicationCollaboration
About the role
- We are seeking a Senior Quantitative Analyst with a strong product development mindset to analyze exchange datasets across equities, FX, options, and futures.
- This role focuses on identifying, structuring, and enhancing datasets for commercial use.
Responsibilities
- Evaluate exchange and proprietary datasets to support 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 with a focus on usability and scale.
- Support product specifications and delivery approaches, including cloud distribution channels such as Snowflake and AWS Marketplace.
- Partner with engineering teams on data ingestion, normalization, and delivery workflows.
- Support sales and marketing with analytics and product positioning for client discussions.
- Building trusted markets - powered by our people
- As a leading provider of market infrastructure and tradable products, Cboe delivers cutting-edge trading, clearing and investment solutions to market participants around the world.
Requirements
- 5-8+ years of experience in a quantitative, data science, research, or market data role at a trading firm, exchange, fintech, or data provider.
- The ideal candidate brings experience in quantitative finance, data analytics, and statistical modeling, with the ability to turn complex market data into practical client-ready products.
Nice to have
- Prior experience at a market data provider, exchange, or trading analytics firm.
- Familiarity with cloud-based data processing (AWS, GCP, Azure) and distributed computing frameworks.
- 2:1 401(k) match, up to 8% match immediately upon hire
- Volunteer opportunities to help you give back to your communities
- Complimentary lunch, snacks and coffee in any Cboe office
- Generous charitable giving company match
Skills
- Education & Experience
- Bachelor's or Master's degree in Quantitative Finance, Computer Science, Data Science, Statistics, Engineering, or a related field.
- Technical & Analytical Skills
- 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.
- Exposure to cloud-based data platforms such as Snowflake, AWS, or GCP is a plus.
Compensation
- Fair and competitive salary and incentive compensation packages with an upside for overachievement
Benefits
- and Perks of working for Cboe Global Markets
- We value the total wellbeing of our people - including health, financial, personal and social wellness.
- We believe standard benefits like health insurance and fair pay are a given at any organization.
- 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
- Discounted Employee Stock Purchase Plan
- Tax Savings Accounts for health, dependent and transportation
- Employee referral bonus program
- Paid Tuition assistance and education opportunities
- Paid parental leave and fertility benefits
- Advanced Data Analytics & Machine Learning
- Apply statistical and machine learning techniques to identify patterns, anomalies, and predictive signals.
- On-site gyms and discounts to other fitness centers
Company info
- At Cboe Global Markets, we inspire our people to solve complex challenges together because what we do matters.
Equal opportunity
- We're proud to be an equal opportunity employer do not discriminate against any employee or applicant for employment based on any legally protected characteristic, including race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, or v eteran status.
- We are committed to fostering a workplace where all individuals are valued and respected.
- This position is not eligible for visa sponsorship.
- Candidates must be legally authorized to work in the United States without the need for employer sponsorship now or in the future.
Visa & Work Authorization
- This position is not eligible for visa sponsorship.
This listing is sourced directly from Cboe's careers page and normalized into a canonical job model.