Job Description

Quantitative Trading & Research (QTR) is an expert group in J.P.Morgan specializing in statistical modelling, data analytics, balance sheet optimization and other quantitative methods to support the Commercial and Investment Bank (CIB). The QTR Securities Services and Payments team applies cutting-edge AI/ML techniques to fundamentally transform the way we do business by enabling business revenue growth and efficiency within the CIB organization.

As an Associate or a Vice President in the Quantitative Trading & Research (QTR) Securities Services and Payments, you will support the business in tackling their most technically complex business problems to optimize revenue and manage risks. This could range from developing AI/ML applications that make business-critical predictions such as client pricing, to handling vast data sets using the J.P.Morgan's Cloud capabilities or optimal hedging policies for interest rate risk management. You will be in tight partnership with the business in identifying their most pressing pain points and iterating towards a solution that really works for them. If you are passionate about solving real-world problems using your quantitative background and experience, this may be just the team for you.

Job responsibilities

• Work with business leads to develop AI/ML-driven analytics and automation that support their business goals.
• 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
• Work closely with colleagues in Quantitative Research, CIB Treasury, Chief Investment Office, Technology and the Chief Data and Analytics Office (CDAO) to drive the CIB 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

• Participation in KDD/Kaggle competition, Hackathons or contribution to GitHub
• You demonstrate hands-on experience in solving sequential decision making problems
• Experience in applying LLMs and/or deep learning methods to solve business problems
• Experience in working with Cloud and/or HPC environments

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.