J.P. Morgan's Securities Services QR team applies cutting-edge AI/ML techniques to fundamentally transform the way we do business and tackle technically complex business problems for Agency Securities Finance Trading.
Requirements
- Robust understanding of Machine Learning, Statistics, and Mathematics, both in fundamentals and in application.
- Excellent coding skills in Python and solid software engineering fundamentals; fluent command of NumPy, Pandas, Matplotlib, and scikit-learn.
- Proven track record of developing solutions to real-world data science problems, end-to-end from prototype to production.
Responsibilities
- Work with traders to develop AI/ML-driven analytics and automation that support their business goals
- Carry out model development from research and iterative testing through production deployment and ongoing support
- Perform large-scale analysis on our proprietary dataset
- Make business-focused, commercial recommendations through effective presentations to various stakeholders
- Partner with colleagues in Quantitative Research, Technology, and the Chief Data and Analytics Office (CDAO) to drive the Securities Services data and analytics strategy forward
Other
- Advanced degree (PhD or MS) or equivalent in a quantitative field: Statistics, Mathematics, Physics, Computer Science, Engineering, etc.
- Effective verbal and written communication skills, and the ability to present technical information to a non-technical audience.
- Passion for learning, sharing knowledge, building collaborations, and getting things done.
- Candidates with experience in finance or working with financial data sets are preferred.
