Sr Engineer - Machine Learning - Regulatory

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.

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 work spaces, creating a vibrant and dynamic work environment in one of Chicago’s most iconic areas.

Cboe Global Markets is the world’s go‑to derivatives and exchange network, providing trading solutions and products in multiple asset classes, including equities, derivatives, FX, and digital assets. Cboe’s Regulatory Division directly contributes to the company’s success by promoting fair, transparent, and trusted markets, through effective and efficient market oversight. We operate surveillance, examination, and investigative programs aimed at detecting and disciplining, or preventing, violative behavior.

Are you passionate about leveraging cutting‑edge Artificial Intelligence and Machine Learning to ensure the integrity and transparency of global financial markets? As a Senior Machine Learning Engineer – Regulatory at Cboe Global Markets, you’ll have the opportunity to prototype, train, and deploy ML models and AI applications that monitor financial markets generating terabytes of new data every trading day. You’ll be at the forefront of innovation, utilizing advanced AI tools and scalable data engineering to transform complex data into actionable insights.

If you thrive on tackling real‑world challenges, excel in programming and large‑scale data operations, and want to make a meaningful impact in a fast‑paced, highly regulated environment, this is your chance to join a team where your expertise will help shape the future of market oversight.

• Collaborate with the team on machine learning experiments across order book analysis, alert detection, and sequential financial data
• Develop and operate AI agent systems in production, applying ML engineering discipline to nondeterministic LLM‑based software development workflows
• Own and evolve the team’s ML training and deployment infrastructure on Snowflake
• Build production‑quality data pipelines for processing terabytes of daily financial market data
• Raise the engineering bar through rigorous code review, architecture guidance, and mentorship of junior and mid‑level engineers
• Design and develop production‑quality, test‑driven Python code
• Develop explainability and process‑compliance solutions for AI and ML
• Effectively track and evaluate ML model performance across training, validation, inference, and monitoring
• Work in both on‑premises and cloud environments
• Work closely with complementary engineering teams
• Produce clear and thorough documentation, including ML proposals, experiment specifications, technical design, and testing scenarios
• Communicate technical information clearly…