Senior Quantitative Data Analyst

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.

Key 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.

Required Qualifications & Skills

• 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.
• 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 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.

About Cboe Global Markets

We are reimagining the future of the workplace by focusing on what matters most, our people. Our journey is an inclusive one. We’re investing deeply in leadership programs and career development initiatives that ensure everyone has an equal chance to succeed. We work with purpose, solving problems with ingenuity, collaboration, and a lot of passion. We’re an engaged and excited team connecting markets across borders and embracing growth in all its forms to achieve incredible outcomes.

Equal Employment 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 veteran status. We are committed to fostering a workplace where all individuals are valued and respected.