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Quantitative Algorithmic Trading Researcher Jobs

$250K - $300K/yr

Collaborate with the trading and quantitative research team to evaluate existing algorithms * Combine knowledge of systems, mathematical techniques and trading to identify the best places to improve ...

Research and implement algorithmic trading strategies. * Analyze large data sets using advanced statistical and quantitative techniques to identify trading opportunities. * * Develop a deep ...

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Quantitative Algorithmic Trading Researcher information

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$119.2K

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How much do quantitative algorithmic trading researcher jobs pay per year?

As of Sep 11, 2026, the average yearly pay for quantitative algorithmic trading researcher in the United States is $119,165.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,500.00 and $152,500.00 per year, depending on experience, location, and employer.

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Infographic showing various Quantitative Algorithmic Trading Researcher job openings in the United States as of August 2026, with employment types broken down into 83% Full Time, 15% Part Time, and 2% Contract. Highlights an 72% Physical, 5% Hybrid, and 23% Remote job distribution, with an average salary of $119,165 per year, or $57.3 per hour.

Quantitative Trading & Research - Algorithmic Execution - Analyst

Manhattan, NY • On-site

JPMorgan Chase & Co.
Finance and Insurance • 10K+ employees

Other

Re-posted 12 days ago


JPMorgan Chase & Co. rating

7.9

Company rating: 7.9 out of 10

Based on 500 frontline employees who took The Breakroom Quiz


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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