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Salary
Discover a unique opportunity to become a part of our Quantitative Research team in London, where your focus will be on Payments.
Job Summary:
As a Quantitative Research - Payments - Associate within the Corporate Investment Bank Payments team in London, You will be part of a newly formed team that will support the Liquidity and Account Solutions team within Payments, optimizing Net Interest Income and client pricing through the innovative use of data analytics, time series analysis and machine learning. You will help create a globally consistent deposit and pricing toolset used in decision making.
As part of the Corporate and Investment Bank, the Payments business generated over $9bn of revenue in 2023, holding over $400bn of cash deposits with a global presence in over 160 countries.
Job Responsibilities:
- Reconcile data sources and build data pipelines to form a comprehensive data set fit for modelling and visualization
- Build up a scalable data architecture to handle the large volume of transaction data
- Automate existing manual processes and build tools to enable the business to optimize their decision making and deposit management
- Build sequential decision making tools to optimize the net interest income of the business under various liquidity, capital and balance sheet constraints
- Drive projects end-to-end, from brainstorming, prototyping, data processing, data analysis to model development
- 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 demonstrate experience in writing production quality code and familiarity with testing and source control
- You have experience in 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
- A 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
- Experience in building scalable machine learning models 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.
