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Here's an extraordinary chance for you to become a part of our Quantitative Research team in the Corporate & Investment Bank Treasury in London.
Job Summary:
As a Quantitative Research Associate in the Corporate & Investment Bank Treasury, you will be part of a growing team that contributes to our capabilities through the innovative use of data analytics, time series analysis, and process automation. You will help create a globally consistent toolset used in decision making.
In addition, we are providing on the job training, intensive internal classroom training, and online courses, all given by our experienced quants. Through the diversity of the businesses, it supports and the variety of functions that it is responsible for, Quantitative Research group provides unique growth opportunities for you to develop your abilities and your career.
Job Responsibilities:
- Reconcile data sources and build data pipelines to form a comprehensive data set fit for modelling and visualization, working closely with our Technology partners
- Build up a scalable data architecture to handle the large volume of data
- Automate existing manual processes and build tools to enable the business to optimize their balance sheet, enhance decision making on capital, funding, liquidity, and leverage, forecast net interest income under a variety of scenarios, and optimize deposit management
- Drive projects end-to-end, from brainstorming, prototyping, data processing, data analysis to model development and production code implementation
- Make real-world, commercial recommendations through effective presentations to various stakeholders
- Leverage data visualization to communicate quantitative insights to help business decision-making
Required qualifications, capabilities, and skills:
- You have advanced degree (PhD, MSc or equivalent) in Engineering, Mathematics, Physics, Computer Science, etc.
- You demonstrate strong desire to work with data and being comfortable in handling large datasets as well as building data pipelines
- You have experience in writing production quality code
- You demonstrate data analytics using open-source Python packages (pandas/NumPy/scikit-learn/TensorFlow)
- You demonstrate strong communication skills (both verbal and written) and the ability to present findings to a non-technical audience
- You demonstrate strong intellectual curiosity, and an interest in understanding at a deeper level how a bank operates
Preferred qualifications, capabilities, and skills:
- Participation in KDD/Kaggle competition or contribution to GitHub is a plus
- Hands-on experience in solving sequential decision making problems is a plus
- Knowledge/Experience with cloud based infrastructure is a plus
J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.
ABOUT THE TEAM
The Corporate & Investment Bank is a global leader across Investment Banking, wholesale payments, markets and securities services. The world’s most important corporations, governments and institutions entrust us with their business in more than 100 countries. We provide strategic advice, raise capital, manage risk and extend liquidity in markets around the world.
