ML-Driven Quant Research & Trading Associate

J.P. Morgan; New York (NY); On-site; USD 160,000 - 210,000; Full time

Job summary

J.P. Morgan is seeking an Associate in the Quantitative Trading & Research (QTR) Securities Services team in New York. The role involves supporting the business with technically complex problems, leveraging LLMs, and developing ML applications that scale data-driven insights.

You will collaborate with Quantitative Research, Technology, and the Chief Data and Analytics Office to push forward the Securities Services data strategy and deliver impactful, real-world solutions.

Qualifications

• Advanced degree (PhD or MS) in a quantitative field or equivalent.
• Strong foundation in machine learning, statistics, and mathematics.
• Experience in solving real-world data science problems end-to-end using Python.

Responsibilities

• Work with business leads to develop AI/ML-driven analytics and automation that support business goals.
• Perform large-scale analysis on proprietary data to solve novel problems.
• Test ideas, write production code to implement solutions for the business.
• Present findings to stakeholders to drive decisions.
• Collaborate with Quantitative Research, Technology, and CDAO to advance data strategy.

Skills

ML & statistics

Python

Data analysis

Communication

Problem solving

Education

MS/PhD in Quantitative Field

Tools

Python

Cloud

HPC

Job description

J.P. Morgan is seeking an Associate in the Quantitative Trading & Research (QTR) Securities Services team in New York. The role involves supporting the business with technically complex problems, leveraging LLMs, and developing ML applications that scale data-driven insights.

You will collaborate with Quantitative Research, Technology, and the Chief Data and Analytics Office to push forward the Securities Services data strategy and deliver impactful, real-world solutions.