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.

Cboe interns work with a variety of staff across multiple departments and have the opportunity to put their skills to work in their field of interest, while learning about Exchange technology and operations through our robust Options Institute courses.

The three main foundational pillars of our internship program are: develop, educate and network. We want to ensure each of our interns receive a real-world working experience that encourages academic, professional and personal growth.

Candidates should be versatile, eager and able to work in a fast-paced, time-sensitive financial and technical environment. Our interns will have the flexibility of working 2 days remotely, and 3 days in office per week at one of our state-of-the-art offices in Chicago, Kansas City, and New York City. To be eligible for this internship, applicants must be enrolled in a university or college program and should not be scheduled to graduate before December of the year in which the internship takes place. Our internship program runs from June to August, and you will wrap up your internship with a final presentation and retreat. Visit our student page for more information about our internship program!

The Regulatory Technology team is hiring a Machine Learning intern:

The Machine Learning intern at Cboe will work on prototyping, training, testing and validating ML models and applications for the surveillance of financial markets, which generate terabytes of new data and trading patterns every day. The successful candidate will have extreme intellectual curiosity, perseverance, good academic knowledge of machine learning models, statistical techniques and will demonstrate strong programming and large-scale data engineering skills. Together, let’s invent new techniques to detect violative behavior in financial markets.

Your responsibilities and learning objectives will be:

• Train various candidate models to fit a given business problem
• Prepare data sets and design data features for ML input.
• Effectively track and evaluate ML model performance during research phase.
• Contribute creative ideas to problem solve with ML techniques during brainstorming discussions with ML team and users
• Receive and implement constructive feedback through rigorous code reviews and QA testing.
• Work in both on-premises and cloud environments.
• Produce clear and thorough documentation for your research and analytical work.
• Communicate technical information clearly and concisely to an end-user audience.
• Learn best practices in software engineering and ML research

The ideal candidate has:

• Understanding of a wide variety of machine learning algorithms, supervised and unsupervised, classical and deep learning and their unique infrastructure requirements
• Familiarity with machine learning best practices in training, validation, inference, and monitoring
• Strong Python-based programming and data engineering skills
• Strong SQL knowledge
• Experience with common data science and ML frameworks, such as numpy, pandas, Spark, scikit-learn, TensorFlow, and PyTorch
• Experience with large-scale data sets
• Ability to work both independently and as part of a team
• Excellent written and verbal communication skills
• Demonstrates critical thinking, attention to detail, and good judgment
• Bachelor’s or Master’s degree in progress in a quantitative field and should not be scheduled to graduate before December of the year in which the internship takes place.

You’ll really stand out with:

• Knowledge of advanced undergraduate-level mathematics, including statistics, linear algebra, and multivariable calculus
• Knowledge of relevant graduate-level mathematics, such as stochastic methods and numerical analysis will be a huge plus
• Experience in production software development environments, including version control

automated testing, and change management would be a great plus

• Experience with test-driven development
• Experience with distributed ML frameworks
• Familiarity with AWS
• Familiarity with Snowflake
• Experience in the financial services sector
• Experience in highly regulated industries

Benefits and Perks

• Competitive compensation
• Flexible, hybrid work environment, 3 days in office, 2 days remote, per week.
• 2:1 401(k) match, up to 8% match immediately upon hire.

Some of our employees’ favorite benefits and perks include:

• Daily complimentary in-office lunch from local restaurants
• Endless free coffee and snacks to fuel your workday
• Monthly in office networking events and happy hours
• Associate Resource Groups (ARGs) and affinity groups for support and community building

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 celebrate the diversity in our communities, inside and out, and welcome new perspectives with equity, inclusion and belonging.

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, LinkedIn, and our student page for more information about our internship program!

Equal Employment Opportunity

We're proud to be an equal opportunity employer - and celebrate our employees’ differences, including race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, and Veteran status.

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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.