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JPMorganChase · New York, NY

Quantitative Trading & Research - Algorithmic Execution - Analyst

New York, NY, United StatesResearch & Science

Listed on JPMorganChase’s official careers site. Posted July 30, 2026. Check that it is still open and apply there.

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Job description

The Quantitative Trading & Research (QTR) Algorithmic Execution group is looking for an associate with the focus on algorithmic execution across macro. The ATS group is one of the biggest execution algo providers. The objective is to research, implement and support state-of-the art algorithmic execution strategies for institutional clients Job summary As an Associate in our Algorithmic Execution team, you will collaborate closely with sales and technology partners to design, implement, and support cutting-edge trading strategies.

Your work will directly impact the efficiency and success of institutional trading, leveraging advanced analytics and technology to deliver best-in-class solutions.

Job 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 Required qualifications, capabilities, and skills 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 Preferred qualifications, capabilities, and skills Interest in client interaction and engagement Interest in market microstructures and quantitative trading Experience in data handling using KDB Familiarity with modern front-end and cloud technologies

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