Job Opening: Sr Manager Machine Learning, Regulatory - Hybrid/Remote

About Cboe:
Cboe is one of the world's largest exchange holding companies, offering innovative trading and investment solutions to investors globally.

What We Do

The Regulatory Technology team at Cboe develops solutions to surveil ten different equities, options, and futures trading venues across the US and Europe. Our managers lead high-performing engineering teams to deliver mission-critical projects that support market surveillance systems. We process data from various market exchange platforms, architect systems capable of analyzing billions of events daily, and optimize for increased data volumes. Our focus is on creating actionable intelligence for our analysts to ensure fair, orderly, and compliant market operations. We are committed to continuous learning and analytical thinking.

Location

Flex Hybrid in Lenexa, KS or Chicago, IL. Remote work with some travel is also an option.

Responsibilities

• Lead a team of ML engineers supporting our market surveillance program.
• Develop new machine learning concepts and experiments relevant to regulatory market surveillance.
• Prototype new ML concepts to guide implementation by the ML engineering team.
• Create and advocate for technical architectures that shorten ML experimentation and production cycles.
• Facilitate discussions with surveillance teams to refine ML concepts and follow through to implementation.
• Foster a culture of clear communication, documentation, and transparency around ML projects within the regulatory division.
• Inspire engineers to stay updated on the latest Machine Learning, Data Engineering, and Cloud Computing developments.
• Plan ML projects, assign tasks based on priority and skillset, and maintain up-to-date sprint plans.
• Provide regular status updates to stakeholders and proactively manage stakeholder relationships.
• Lead recruitment efforts for ML engineers and mentor direct reports to achieve individual and team excellence.
• Conduct performance planning and reviews following organizational and departmental guidelines.
• Participate in regulatory compliance procedures and ensure team compliance.
• Represent the ML team's technical needs to gain support from other engineering teams and the regulatory division.

Job Requirements

• Minimum eight years of technology management experience leading small application development teams in an enterprise environment.
• At least three years of hands-on experience training, tuning, and productionizing machine learning models.
• Proficiency in common machine learning frameworks, algorithms, and libraries.
• Hands-on experience with Python for large datasets.
• Experience using SQL for application development and data analysis.
• Development experience in AWS cloud with big data analytics and ML services like Amazon SageMaker and Amazon EMR is highly desired.
• Excellent communication skills and experience presenting to enterprise audiences.
• Experience using agile methodologies and test-driven development is highly desired.
• Exchange or market regulatory technology experience is a plus.
• Financial services industry experience is a plus.
• Bachelor's degree in Computer Science, Mathematics, Statistics, Engineering, or a related field. A master's or Ph.D. degree is preferred.

Compensation:
As required by the New York City Human Rights Law, Cboe provides a competitive salary range of $200,000-$330,000 for roles performed in New York City. Actual compensation is influenced by geographic location, skillset, experience, etc. Additional incentive compensation and benefits may be available.

Any communication from Cboe regarding this position will only come from a Cboe recruiter who has a @cboe.com email address or via LinkedIn Recruiter. Cboe does not use any other third-party communication tools for recruiting purposes.

Company Name: Cboe
Job Title: Sr Manager Machine Learning, Regulatory - Hybrid/Remote

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