Director, Artificial Intelligence & Machine Learning

Intercontinental Exchange - New York, NY

Full-time - Director

New York, NY

Securities, Commodity Contracts, and Other Financial Investments and Related Activities

About the position

The Director, Artificial Intelligence/Machine Learning will play a pivotal role in a newly formed team at NYSE, focusing on enhancing market microstructure data analysis to better understand market behavior. This position involves establishing the department from the ground up and developing innovative AI and machine learning solutions to advance analytics capabilities across various business lines.

Responsibilities

• Brainstorm identifying ML/AI/NLP innovations to apply in quantitative analysis on market microstructure and in surveillance.
• Implement and prototype new algorithms and write code for novel ML/AI/NLP solutions.
• Experiment and evaluate various solutions through prototyping, POCs, and quantitative metrics, handing off solutions to stakeholder teams as needed.
• Explain complex models to stakeholders and managers in simple terminology, while discussing intricacies of complex algorithms with experts.
• Figure out tradeoffs between internal technical implementation vs. partnerships with external teams for new technology-based solutions.
• Research emerging ML/AI/NLP and other Data Science solutions to stay updated with latest developments.
• Attend and present at technical conferences, workshops, and meetups.
• Regularly meet with management and staff to deliver presentations and discuss project issues.
• Conduct and document status meetings and project reviews.
• Supervise assigned staff in the day-to-day development of applications and production support.
• Provide feedback and input into the development of system design and implementation plans.
• Keep management updated on progress and ongoing production issues.

Requirements

• Bachelor's degree in Computer Science, Engineering or similar discipline.
• 10 or more years of experience in multiple technology disciplines with extensive experience in business, functional and people management.
• 5 or more years of experience in the financial domain.
• 2 or more years of experience in applying AI/ML/NLP/deep learning/data-driven statistical analysis & modeling solutions to quantitative analysis of financial market data.
• Strong knowledge of the theory and applications of machine learning, AI, deep learning, data science, NLP, text analytics, unstructured data analytics, supervised/unsupervised learning.
• Strong programming skills in Python, C/C++, Java, R, MATLAB, Scala, and experience with machine learning and deep learning frameworks including TensorFlow, Caffe, Spark, Hadoop.
• Experience with writing complex programs and implementing custom algorithms in various environments.
• Proven capability in demonstrating successful advanced technology solutions using ML/AI/NLP/data science in one or more domains.
• Experience in data management, data analytics middleware, platforms and infrastructure, cloud and fog computing is a plus.
• Experience in data visualization solutions and tools is a plus.
• Additional experience with GPU programming for training deep learning models and cloud environments such as AWS is desirable.
• Excellent communication skills to explain complex algorithms and solutions to stakeholders across multiple disciplines.
• Experience in an applied R&D environment, working in an agile, innovation-lab culture.

Nice-to-haves

• Experience in data visualization solutions and tools is a plus.
• Additional experience with GPU programming for training deep learning models and cloud environments such as AWS is desirable.