Company Overview
Cboe Global Markets (Cboe) stands at the forefront of the global financial ecosystem as a premier exchange network for derivatives, foreign exchange, digital assets, and securities trading. With over 50 years of leadership and innovation, Cboe continues to shape the future of financial markets—yet our journey is only just beginning.
At Cboe, we believe in the power of collaboration to solve complex challenges that truly matter. Our work underpins the financial infrastructure that drives the global economy, providing secure, transparent, and inclusive markets where investors of all backgrounds can participate and thrive.
We foster an environment that empowers our people to think big, act boldly, and grow professionally. By delivering innovative trading solutions, we help individuals and institutions alike build a sustainable financial future. Beyond the markets, our team is committed to making a meaningful difference in the communities where we live and work—driving positive impact both inside and outside the organization.
Key Responsibilities
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Apply statistical and predictive modeling techniques to assess the integrity and long-term stability of risk models.
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Develop new metrics and data perspectives that enhance the performance and reliability of derivatives risk analytics.
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Work closely with development teams to build and refine Quality Engineering tools and frameworks, contributing research insights, specifications, and prototypes.
Required Qualifications
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Master’s degree in a quantitative field such as Statistics, Operations Research, Mathematics, Engineering, Physics, or Computer Science.
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At least 5 years of experience, ideally in the financial industry, with exposure to asset classes like equities, fixed income, and derivatives.
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Hands-on experience with statistical modeling and predictive analytics.
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Proficiency in Python or R and SQL for large-scale data analysis; familiarity with Java is a plus.
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Understanding of financial models such as Black-Scholes, Nelson-Siegel, or rates curve bootstrapping is highly desirable.
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Strong interpersonal and communication skills with the ability to engage both technical and non-technical stakeholders.
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Exposure to optimization techniques is a bonus.
Benefits & Perks
At Cboe, we’re committed to the well-being of our employees—personally, professionally, and financially. Our comprehensive benefits include:
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Health Coverage: Medical, dental, vision, and prescription plans
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Spending Accounts: Flexible Spending Accounts (FSAs) and Health Savings Accounts (HSAs)
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Financial Wellness: 401(k) with generous company match, ESPP (Employee Stock Purchase Plan), life and AD&D insurance
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Work-Life Balance: Paid time off and additional voluntary benefits
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Education Support: Market-leading tuition assistance and learning programs
More About Cboe
At Cboe Europe and beyond, we’re redefining what it means to build a future-ready workplace—one focused on growth, inclusivity, and purpose. We invest in leadership development, provide equal opportunities for advancement, and welcome a diverse range of perspectives. Collaboration, creativity, and impact are at the heart of everything we do as we build solutions that power global markets.
Compensation Details
The national base pay range for this role is $125,800 to $155,400, with geographic differentials applied as follows:
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110%: Austin, TX; Chicago, IL; Denver, CO; San Diego, CA
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115%: Los Angeles, CA; Seattle, WA
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120%: Boston, MA; Washington, DC
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125%: New York City, NY
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130%: San Francisco, CA
Your actual salary will be determined based on factors such as location, education, experience, and skill set. In addition to base pay, you’ll be eligible for our annual performance-based variable pay and full suite of benefits.
Equal Opportunity Employer
Cboe celebrates and supports diversity in all its forms. We are proud to be an equal opportunity employer and welcome applicants regardless of race, gender, religion, sexual orientation, gender identity, age, disability, or any other legally protected status.