Quantitative Trading & Research - Securities Services - Analyst or Associate

JPMorgan Chase & Co.; City of Westminster; On-site; GBP 65,000 - 90,000; Full time

Job summary

JPMorgan Chase & Co. in London seeks an Analyst/Associate for the QTR Securities Services team to tackle technically complex problems, from ML applications to scalable data architectures, in partnership with business leads.

You will automate processes, build decision tools, and present actionable insights to stakeholders. The role requires strong quantitative background, hands-on Python experience, and ability to deliver end-to-end data-driven solutions across cloud environments.

Qualifications

• Hands-on experience solving sequential decision making problems.
• Experience applying LLMs or deep learning to business problems.
• Experience working with Cloud and HPC environments.
• Advanced degree (PhD or MS) in a quantitative field.
• Participation in KDD/Kaggle/Hackathons or contributions to GitHub.

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, Technology and the Chief Data and Analytics Office (CDAO) to drive the CIB data strategy forward
• 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 (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

Skills

LLMs & DL

Sequential decision making

Python

Cloud / HPC

Data visualization

Education

Advanced degree (PhD/MS) in quantitative field

Tools

GitHub

Job description

As an Analyst / Associate in the QTR Securities Services team, you will support the business in tackling their most technically complex business problems. This could range from leveraging LLMs to deliver capabilities at scales never before possible, to developing ML applications that make business-critical predictions, to handling vast data sets using the J.P.Morgan's Cloud capabilities. 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.,

• 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, Technology and the Chief Data and Analytics Office (CDAO) to drive the CIB data strategy forward
• 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
• Advanced degree (PhD or MS) or equivalent in a quantitative field: Physics, Mathematics, Computer Science, Engineering, etc
• 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., J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.