The Director, Artificial Intelligence/Machine Learning is a core member of a newly formed and highly visible team, key to NYSE's long-term strategy to better analyze market microstructure data in order to understand market behavior in a more meaningful way and provide customers with Value-added data sets. Initially, the team will be small with a vision to grow into a bigger business unit.
The candidate should be a self-starter, should be hands-on and be ready to establish the department from scratch. He will independently and in collaboration with others, research, design, develop, and implement innovative Machine Learning, AI, deep learning, NLP, Cloud, Data Science solutions that will advance NYSE's analytics capabilities across multiple business lines.
Duties and Responsibilities
- Brainstorm identifying ML/AI/NLP innovations to apply in quantitative analysis on market microstructure and in surveillance to help in advance automation, knowledge discovery, decision-making and insights
- 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, and handing off solutions to stakeholder teams as needed
- Explain complex models to stakeholders and managers in simple terminology, while also being able to discuss intricacies of complex algorithms with experts in the field
- Figure out tradeoffs between internal technical implementation vs. partnerships with external teams/organizations/vendors for new technology-based solutions and capabilities
- Research emerging ML/AI/NLP and other Data Science solutions to be conversant with latest developments in these fields
- Attend and present at technical conferences, workshops, and meetups
- Regularly meet with the management and staff to deliver presentations, project status, and discuss relevant 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 on-going production issues
Knowledge and Experience
- 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 financial domain.
- 2 or more years of experience in applying AI/ML/ NLP / deep learning / data-driven statistical analysis & modelling solutions to quantitative analysis to 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, proven programming skills in Python, C/C++, Java, R , MATLAB, Scala, and with machine learning and deep learning and Big data frameworks including TensorFlow, Caffe, Spark, Hadoop.
- Experience with writing complex programs and implementing custom algorithms in these and other environments.
- Experience beyond using open source tools as-is, and writing custom code on top of, or in addition to, existing open source frameworks.
- Proven capability in demonstrating successful advanced technology solutions (either prototypes , POCs, well-cited research publications, and/or products) 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 data visualization 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, solutions to stakeholders across multiple disciplines, and ability to work in a diverse team
- Experience in an applied R&D environment , working in an agile, innovation-lab culture to bring cutting-edge technologies to fruition, from initial concept to implementation
Intercontinental Exchange, Inc. is an Equal Opportunity and Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin or ancestry, age, disability or veteran status, or other protected status.