Quantitative Trading & Research - Securities Services - Associate

Testing Site - JPMC; New York (NY); On-site; USD 140,000 - 200,000; Full time

Job summary

J.P.Morgan's Quantitative Trading & Research (QTR) Securities Services team seeks an Associate to tackle technically complex problems by applying quantitative methods, ML, and data analytics. You will work with business leads and technical peers to build deployable AI/ML analytics and production-grade code using Python in a cloud/HPC environment.

You will analyze large proprietary datasets, prototype new approaches, and present actionable results to stakeholders, helping shape the firm’s data

Qualifications

• Advanced degree in a quantitative field with strong mathematics background.
• Robust understanding of ML, statistics, and their application to real-world data.
• Experience in tackling data science problems end-to-end using Python.

Responsibilities

• Work with business leads to develop AI/ML-driven analytics and automation that support their business goals.
• Perform large-scale analysis on proprietary datasets to solve problems.
• Write production code to implement ideas and drive business value.
• Make actionable recommendations through presentations to stakeholders.
• Collaborate with Quantitative Research, Technology and CDAO to advance data strategy.

Skills

ML & Statistics

Python programming

Communication

Data analysis

Problem solving

Education

PhD or MS in a quantitative field (Physics/Math/CS/Engineering)

Tools

Python

Cloud computing

HPC

Job description

Quantitative Trading & Research (QTR) is an expert group in J.P.Morgan specializing in statistical modelling, data analytics, and other quantitative methods. In Securities Services, QTR applies cutting-edge AI/ML techniques to fundamentally transform the way we do business.

Job Summary

As an Associate in the Quantitative Trading & Research (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.

Job responsibilities

• Work with business leads to develop AI/ML-driven analytics and automation that support their business goals
• Perform large-scale analysis on our proprietary dataset to solve problems never tackled before
• Test ideas, figure out what works, and write production code to make that idea work for the business
• Make real-world, commercial recommendations through effective presentations to various stakeholders
• Work closely with colleagues in Quantitative Research, Technology and the Chief Data and Analytics Office (CDAO) to drive the Securities Services 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

• Experience in applying LLMs and/or deep learning methods to solve business problems.
• Experience in working with Cloud and/or HPC environments.