VP, Trading Analytics & Strategy — Execution Research

J.P. Morgan; Worcester (MA); On-site; USD 180,000 - 240,000; Full time

Job summary

J.P. Morgan Asset Management is seeking a Trading Analytics and Strategy Vice President/Associate to deliver research that improves execution and to build analytics supporting trading processes.

The role involves partnering with traders and tech teams to implement systematic strategies and to maintain analytics platforms. The successful candidate will have a quantitative degree, 4+ years in related roles, and strong Python/R with SQL, plus excellent communication to present findings to senior

Qualifications

• Bachelor’s degree in a quantitative or finance-related discipline.
• 4+ years in trading analytics / execution analytics / quantitative research.
• Proficient in Python and/or R and strong SQL skills.
• Familiarity with OMS/EMS data models and execution workflows; APAC equities microstructure.
• Strong communication skills with the ability to present findings to traders and stakeholders.

Responsibilities

• Deliver trading research projects that improve execution outcomes.
• Partner with traders and technology teams to design, build, and roll out systematic trading strategies and tools.
• Develop and enhance analytics, dashboards, and monitoring processes to evaluate broker, trader, and strategy performance.
• Own the stability and ongoing enhancement of the APAC analytics platform, including data inputs like OMS/EMS feeds and market data services.

Skills

Python

R

SQL

Communication

Education

Bachelor’s degree in quantitative or finance-related discipline

Job description

J.P. Morgan Asset Management is seeking a Trading Analytics and Strategy Vice President/Associate to deliver research that improves execution and to build analytics supporting trading processes.

The role involves partnering with traders and tech teams to implement systematic strategies and to maintain analytics platforms. The successful candidate will have a quantitative degree, 4+ years in related roles, and strong Python/R with SQL, plus excellent communication to present findings to senior