Senior Quantitative Strategy Analyst

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.

Cboe HQ is located in the historic Old Post Office district, 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 work spaces, creating a vibrant and dynamic work environment in one of Chicago's most iconic areas.

The Senior Quantitative Strategy Analyst will work within the Corporate Strategy team to support the development, communication and execution of high‑priority company objectives while working collaboratively with all business teams and departments.

As a Senior Quantitative Strategy Analyst, you’ll be expected to demonstrate strong problem‑solving and critical thinking skills with an analytical and data‑driven approach to each challenge. This role blends quantitative analysis with business impact, and is critical in providing insights that support and define our direction as a company.

• Conduct in‑depth analysis of market trends, competitor movements, and industry developments to inform strategic initiatives and highlight growth opportunities.
• Gather, process, and manipulate structured and unstructured data in a wide variety of formats (Excel, text, csv, databases, json, web scrape, etc.) from diverse sources to create management dashboards and graphical visualizations.
• Synthesize this data to generate insights, identify trends, and provide actionable recommendations for our Executive Leaders on key business initiatives.
• Maintain data models and pipelines to support continuous data collection and analyses, uncover trends and insights over time, and provide periodic updates to leadership.
• Build quantitative models (e.g., predictive, financial, etc.), merge and manipulate data, conduct statistical analyses, and design and test hypotheses.

• Bachelor’s degree or equivalent combination of education and experience in Data Analytics or Data Science, Finance, Economics, Business, Engineering, or a related discipline in a quantitative field.
• 5–7 years of experience in a field requiring strong analytical, quantitative and research skills, e.g., data analytics or data science, or consulting role ideally within financial services industry.
• Proficiency in SQL, Python or other programming languages, with experience in data visualization and analysis (e.g. Sigma, Tableau).
• Ability to translate complex data sets into business insights to create a consensus for decision making; experience combining quantitative analysis with business impact.
• Quick learner and self‑starter with the ability to multi‑task effectively and independently within a fast‑paced environment; ability to manage priorities and deadlines across multiple projects, and structure analysis and output.
• Experience in MS Excel, PowerPoint and Word.