Quantitative Trading & Research - Algorithmic Execution - Analyst

JPMorgan Chase & Co.; New York (NY); On-site; USD 120,000 - 180,000; Full time

Job summary

JPMorgan Chase & Co. invites applications for an Associate in Algorithmic Execution, focusing on macro-themed trading strategies.

You will collaborate with sales and technology partners to design, implement, and support state-of-the-art execution approaches for institutional clients, leveraging analytics and advanced tools to improve efficiency and outcomes. Your work will involve partnering across teams, managing execution risk, and delivering insights that drive revenue opportunities while

Qualifications

• Degree in computer science or quantitative field.
• Strong Java coding skills and algorithmic execution experience.
• Ability to analyze large datasets and extract insights.

Responsibilities

• Partner with sales to design algorithmic trading solutions for clients.
• Own algorithmic trading risk and resolve day-to-day 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 to senior stakeholders.
• Maintain strong controls per policies and regulatory requirements.

Skills

Java

Algorithmic execution

Data analysis

Communication

Attention to detail

Team collaboration

Education

Degree in computer science or quantitative field

Tools

KDB

Cloud technologies

Front-end technologies

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