Senior Quantitative Data Analyst
About The Position
Building trusted markets — powered by our people At Cboe Global Markets, we inspire our people to solve complex challenges together because what we do matters. We provide the financial infrastructure that powers the global economy. 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. We’re building meaningful ways to support professional and personal development while strengthening the trust we’ve earned as a global market leader. Our teams are empowered to share ideas, actively pursue them and bring on a challenge. As champions of internal mobility and access to opportunity, we encourage our people to “go for it” and equip our managers with the training to coach their teams to the next level. We strive to provide employees a safe space to network, share ideas and create opportunities. PLEASE NOTE: To support strong partnership and team connection, this role follows a four day in office work model. Location Overview Cboe HQ is located in the historic Old Post Office district, it’s a landmark that blends classic architecture with modern amenities. The building features expansive spaces with high ceilings and large windows, offering an abundance of natural light and panoramic views of the city skyline and the Chicago River. With its prime location in the heart of downtown, the OPO Building provides easy access to major transportation hubs, including Union Station and multiple CTA lines, making it convenient for commuters. The building is home to a variety of amenities, including restaurants, a fitness center, and collaborative workspaces, creating a vibrant and dynamic work environment in one of Chicago's most iconic areas. Role Overview: 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. 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.
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.
- Candidates must be legally authorized to work in the United States without the need for employer sponsorship now or in the future.
Nice To Haves
- 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.
- Ability to apply machine learning in finance, particularly in predictive modeling and trading signals.
- Exposure to cloud-based data platforms such as Snowflake, AWS, or GCP is a plus.
Responsibilities
- Analyze market microstructure across equities, FX, options, and futures to identify actionable insights.
- 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.
- 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 an 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 8% match immediately upon hire
- Discounted Employee Stock Purchase Plan
- Tax Savings Accounts for health, dependent and transportation
- Employee referral bonus program
- Volunteer opportunities to help you give back to your communities
- Complimentary lunch, snacks and coffee in any Cboe office
- 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
