Machine Learning Engineer - Regulatory
$61K-$113K (Glassdoor est.)
Job Description


What We Do

We develop and operate trade surveillance technologies across large and diverse markets. We care deeply about system availability, reliability, and performance. We balance speed, power, and complexity in our functional capabilities. Our mission drives us to create clarity from ambiguity. We work with billions of events each day. We live and breathe automation. If it’s broken, we fix it. If it needs refactoring, we refactor it. If it’s hard to test, we make it testable. We are looking for someone to join us in upgrading our machine learning capabilities.

Responsibilities:
Analyzing, prototyping, and implementing machine learning platform technologies, models, and algorithms for use in surveillance programs.
Employing a range of data processing experiences from real-time, graph, to batch for preparing model data pipelines.
Explaining technical and architectural design topics like we’re five years old.
Working with end-users to gather and define/refine functional requirements
Producing project documentation – high-level charter, functional requirements, technical design, and test documents.
Designing and implementing or integrating data set health monitoring.
Designing and implementing model training plans.
Working closely with infrastructure team on server systems.
Mentoring/Guiding new or less experienced/knowledgeable team members.
Providing on-going application support to end-users and communicating technical information clearly to an end-user audience.
Job Requirements:
7 years software industry experience with one of the following technologies:
Experience with Python and/or a strong desire to learn Python
Experience with Java and/or a strong desire to learn Java
Experience with Linux or UNIX-like operating systems and knowledge of at least one scripting language
2+ years machine learning platform experience
Strong algorithmic problem solving, data analysis, and software systems design skills
Strong knowledge of data structures and algorithms
Excellent written and verbal communication skills
Must be self-motivated and have the ability to work independently as well as part of a team, requiring minimal direction and follow-up
Experience in working on multiple projects concurrently
Experience in financial, trading, exchange, banking and/or related fields is a plus
Bachelor’s Degree in Computer Science or related field preferred
Experience with Hadoop and/or SQL desirable
Cboe Global Markets is an Equal Opportunity Employer. For more information, please click the following links:

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Cboe Global Markets
3.7
Cboe Global Markets
