Machine Learning Intern, Regulatory

Cboe Global Markets is a leading provider of market infrastructure and tradable products, seeking a Machine Learning intern to work on prototyping and validating machine learning models for market surveillance. The role involves collaborating with experts, preparing data, and contributing to innovative solutions in a fast-paced financial environment.

Responsibilities

• Train various candidate models to fit a given business problem
• Prepare data sets and design data features for ML input in conjunction with financial surveillance experts
• Effectively track and evaluate ML model performance during research phase
• Contribute creative ideas for problem solving during brainstorming discussions with ML team and users
• Receive and implement constructive feedback through rigorous code reviews, QA testing, and model evaluation
• 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

Skills

• Candidates must be enrolled in a university or college program and should not be scheduled to graduate before December of the internship year
• Extreme intellectual curiosity, tolerance for uncertainty, perseverance
• Good academic knowledge of machine learning models (classical, deep learning, and LLMs) and statistical techniques
• Strong programming and large-scale data engineering skills
• Understanding of a wide variety of machine learning algorithms, supervised and unsupervised, classical and deep learning, including modern large language models and their unique infrastructure requirements
• Fluency with advanced undergraduate-level mathematics, including statistics, linear algebra, and multivariable calculus
• Familiarity with writing code to support the various lifecycle phases of machine learning projects such as training, validation, inference, and production monitoring
• Strong Python-based programming and data engineering skills
• Strong SQL knowledge (Snowflake experience is a plus)
• Experience with common data science and ML libraries, such as numpy, pandas, Spark, scikit-learn, TensorFlow, and PyTorch
• Experience configuring and using AI agents to assist with coding and research tasks
• Experience developing and deploying AI agents/workflows for knowledge-intensive tasks with stringent correctness requirements
• 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
• Strong ability to translate and see long-range connections between trade-offs in ML algorithm design and trade-offs in end-user product features
• Knowledge of time series analysis in a financial context, both statistical methods and deep learning methods
• Experience in production software development environments, including version control, testing and test-driven development and change management
• Experience with multi-GPU model training
• Experience in the financial services sector, or in any highly regulated industry

Benefits

• 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.
• 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

Company Overview