Senior Quantitative Data Analyst

Job Description At Cboe Global Markets, we provide the financial infrastructure that powers the global economy. We inspire our people to solve complex challenges together and build trusted markets through cutting‑edge trading, clearing, and investment solutions. 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.

The 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 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. 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.

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. 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. Benefits And Perks Of Working For Cboe Global Markets Fair and competitive salary and incentive compensation packages. 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 give back to 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. Paid time off. Equal Employment Opportunity We're proud to be an equal opportunity employer and 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 veteran status.

We are committed to fostering a workplace where all individuals are valued and respected. Visa Sponsorship 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.

Salary Range Base salary range for this role is $116,875–$151,250, with additional annual incentive compensation and eligibility for long‑term equity programs. Actual compensation is based on job‑related factors such as skills, experience, education, internal alignment, and location. #J-18808-Ljbffr