Algo Execution Associate: Macro Trading & Research

J.P. Morgan; New York (NY); On-site; USD 120,000 - 190,000; Full time

Job summary

J.P. Morgan's Quantitative Trading & Research (QTR) Algorithmic Execution group seeks an Associate focused on macro execution. The role partners with sales and technology to design, implement, and support cutting-edge trading strategies for institutional clients.

You will collaborate with teams to analyze trading data, backtest strategies, and manage execution risk while delivering insights to senior stakeholders. This is a hands-on role in a fast-paced financial tech environment.

Qualifications

• Degree in computer science or other quantitative field.
• Strong Java coding skills and experience in algorithmic execution.
• Ability to analyze large data sets and extract actionable insights.
• Excellent communication skills, able to articulate complex concepts clearly.
• Attention to detail, adaptable, and eager to learn.
• Inclusive leadership and collaboration skills.

Responsibilities

• Partner with sales to identify and design algorithmic trading solutions tailored to client needs
• Own algorithmic trading risk and resolve day-to-day execution issues
• Analyze trading data to identify patterns and revenue opportunities
• Formulate, analyze, and back test execution strategies
• Collaborate across teams to deliver innovative solutions and share insights
• Provide regular reporting and updates to senior stakeholders
• Maintain strong controls in accordance with company policies and regulatory requirements

Skills

Java coding

Algorithmic execution

Data analysis

Communication

Attention to detail

Inclusive leadership and collaboration

Education

Degree in computer science or quantitative field

Tools

KDB

Job description

J.P. Morgan's Quantitative Trading & Research (QTR) Algorithmic Execution group seeks an Associate focused on macro execution. The role partners with sales and technology to design, implement, and support cutting-edge trading strategies for institutional clients.

You will collaborate with teams to analyze trading data, backtest strategies, and manage execution risk while delivering insights to senior stakeholders. This is a hands-on role in a fast-paced financial tech environment.