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, 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.

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 match  

• Paid parental leave and fertility benefits   

• On-site gyms and discounts to other fitness centers  

• Paid Time Off 

 

More About Cboe Global Markets 

We’re 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.  

 

Learn more about life at Cboe on our website and LinkedIn. 

 

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.   

 

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 Ranges (applicable for US locations only)

At Cboe, we are committed to providing a competitive, transparent, and market‑informed total rewards program. The anticipated base salary range for this role is $116,875-$151,250, with actual compensation determined by job‑related factors such as skills, relevant experience, education, internal alignment, and location.

 

 

This role may also be eligible for annual incentive compensation and, where applicable, participation in Cboe's long-term equity programs.

Additional information about Cboe's total rewards program, including benefits and other compensation components, can be found here: Total Rewards at CBOE.​
 

 

Any communication from Cboe regarding this position will only come from a Cboe recruiter who has a @cboe.com email or via LinkedIn Recruiter. Cboe does not use any other third party communication tools for recruiting purposes.