Job responsibilities
- Work with business leads to develop AI/ML-driven analytics and automation that support their business goals
- Perform large-scale analysis on our proprietary dataset to solve problems never tackled before
- Test ideas, figure out what works, and write production code to make that idea work for the business
- Make real-world, commercial recommendations through effective presentations to various stakeholders
- Work closely with colleagues in Quantitative Research, Technology and the Chief Data and Analytics Office (CDAO) to drive the Securities Services data strategy forward
Required qualifications, capabilities, and skills
- Advanced degree (PhD or MS) or equivalent in a quantitative field: Physics, Mathematics, Computer Science, Engineering, etc.
- Robust understanding of Machine Learning, Statistics, and Mathematics, both in fundamentals as well as in application.
- Experience in tackling real world data science problems, end-to-end from prototype to production, using Python.
- Excellent communication skills (both verbal and written) and the ability to present findings to a non-technical audience.
- Passion for learning, sharing knowledge, building collaborations, and getting things done.
Preferred qualifications, capabilities, and skills
- Experience in applying LLMs and/or deep learning methods to solve business problems.
- Experience in working with Cloud and/or HPC environments.