AI-Driven Quant Trading & Research Associate

Aumni; New York (NY); On-site; USD 140,000 - 230,000; Full time

Job summary

JPMorgan Chase & Co. in New York’s Securities Services is seeking an Associate for the Quantitative Trading & Research (QTR) team.

You will tackle technically complex problems, develop ML applications, and process vast data using our cloud capabilities, working in close partnership with business leads to drive real impact. This role emphasizes solving real-world problems with a quantitative background, collaborating with Quantitative Research, Technology and CDAO, and delivering scalable

Qualifications

• PhD or MS in a quantitative field (Physics, Mathematics, CS, Engineering, etc.).
• Robust understanding of ML, statistics, and mathematics, both fundamentals and applications.
• Experience in tackling real-world data science problems end-to-end using Python.
• Excellent communication skills and the ability to present findings to a non-technical audience.
• Passion for learning, sharing knowledge, building collaborations, and getting things done.

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 never tackled before
• Test ideas, iterate, and write production code to operationalize insights
• Make real-world, commercial recommendations through presentations to stakeholders
• Collaborate with Quantitative Research, Technology and the Chief Data and Analytics Office (CDAO) to advance the Securities Services data strategy

Skills

Machine Learning

Python

Statistics

Communication

Learning mindset

Education

PhD or MS in quantitative field

Job description

JPMorgan Chase & Co. in New York’s Securities Services is seeking an Associate for the Quantitative Trading & Research (QTR) team.

You will tackle technically complex problems, develop ML applications, and process vast data using our cloud capabilities, working in close partnership with business leads to drive real impact. This role emphasizes solving real-world problems with a quantitative background, collaborating with Quantitative Research, Technology and CDAO, and delivering scalable