The New York Stock Exchange (NYSE) is seeking a data scientist to implement a comprehensive approach to the use and maintenance of data, technology, artificial intelligence (AI), specifically focusing on machine learning (ML) and Large Language Models (LLM) for regulatory purposes. The goal is to design analytical and econometric models of trading activity, provide data analytics and AI support, and enhance the data and regulatory technology program to detect and investigate problematic trading activity.
Requirements
- Experience applying AI, including deep learning frameworks and ML, to practical business challenges in capital markets
- Experience in system architecture and design
- High proficiency in Python, SQL, data-structured language, and/or other programming languages and analytical tools such as Jupyter notebook
- Familiarity with AWS Cloud ecosystem preferred
- Apply data science methods to analyze digital assets and blockchain data
- Keep up to date on developments in the field of data science and integrate novel models into NYSER’s program
- Experience building and analyzing quantitative trading strategies is highly preferred
Responsibilities
- implement a comprehensive approach to the use and maintenance of data, technology, artificial intelligence (“AI”), specifically focusing on machine learning (“ML”) and Large Language Models (“LLM”) for regulatory purposes;
- design analytical and econometric models of trading activity (including with respect to digital assets and blockchain data) and provide direct data analytics and AI support to groups across the NYSER program, including to NYSER Surveillance & Investigations, NYSER Enforcement, and NYSER Issuer Regulation;
- provide thought leadership on how to strategically enhance NYSER’s data and regulatory technology program, including by leveraging various data sources and by implementing AI and ML across platforms.
- Explore predictive modeling, ML, LLMs and advanced statistical methods and integrate that technology into NYSER’s program
- Analyze trading data to identify, develop and investigate enforcement cases, and distill the analyses into easily understood visual representations for non-technical stakeholders
- Implement a comprehensive approach to the use and maintenance of data and technology for regulatory purposes
- Design analytical and econometric models and perform analyses on vast quantities of data to identify trends in market activity that implicate the surveillance and enforcement programs
Other
- Serve as the data and AI/ML expert for NYSER
- Collaborate with other subject matter experts to define requirements and specifications for new surveillance patterns and enhancements to existing surveillances
- Facilitate communications between teams with differing levels of expertise on data and technology issues
- Work with technology teams to identify required data sources and tools to load/incorporate data into NYSER systems and normalize and aggregate data sets when necessary
- Establish workflows and documentation protocols based on data science best practices to ensure project plans, data models, and other work product can be clearly communicated to various stakeholders
