Senior Quantitative Data Analyst

Job Description: 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,   i t’ 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. Key Responsibilities: 1. Exchange Data Analysis & Research 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. 2. Data Product Development & Commercialization 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. 3. Advanced Data Analytics & Machine Learning 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. 4. Data Distribution & Market Engagement 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. Required Qualifications & Skills: Education & Experience 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. 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. Preferred Qualifications: 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. #LI-CP2 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. Still, you should   know   we offer:   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     Some of our associates’ favorite benefits and   perks   include:    Complimentary lunch,   snacks   and coffee in any Cboe office    Paid Tuition   assistance   and education opportunities    Generous charitable giving company mat