Work in the Time Series and Reinforcement Learning (TSRL) team within JPMorgan’s Machine Learning Center Of Excellence, which is responsible for exploring and implementing state-of-the-art Machine Learning (ML) solutions for the bank. Engage with stakeholders to understand the business problem and the available data, translate that into a time series/reinforcement learning problem and understand the ML algorithms appropriate to solve it. Agree with stakeholders about how results would be delivered to them and how to quantitatively measure their success. Write code in Python to implement the ML models, present progress regularly and deliver solutions at the end of the project. Describe future steps to improve the models if the stakeholder was interested in continuing with the project. Suggest other areas where the ML can be used to drive innovation and support their business strategy. Work with other Data Science teams by helping them build solutions, share data science best practices, share ML techniques and packages, share reusable components and frameworks that they can leverage. Work with Model Governance to ensure that the ML/TSRL models can be deployed to Production. Mentor interns/new team members who join the group.