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Algorithmic Trading Team Lead Jobs (NOW HIRING)

... Algorithmic Trading Developer to join our Equities Electronic Trading team. This is a VP-level ... Participate in and lead technical design discussions and conduct rigorous code reviews to ensure ...

Team Lead - Trading Remote - Americas Alpaca is a US-headquartered, global leader in agent-first ... Knowledge of algorithms, distributed systems, scalability, high availability, databases, low ...

... Algorithmic Trading Developer to join our Equities Electronic Trading team. This is a VP-level ... Participate in and lead technical design discussions and conduct rigorous code reviews to ensure ...

Review and approve large trades for the trading team * Maintain accountability for trade execution ... Experience with algorithmic trading * Bachelor's degree Core Competencies Demonstrates expertise in ...

Quantitative Trader

Chicago, IL · On-site

$100K - $150K/yr

Once your training is completed, you will join the automated trading team and participate in all aspects of the firm's algorithmic trading strategies. You will work with our team of traders and ...

Your job is to lead the team building Alpaca's algo trading platform to satisfy our users who ... Knowledge of algorithms, distributed systems, scalability, high availability, databases, low ...

... algorithmic trading strategies. Duties will include: * Supervising and optimizing strategy ... Communication and coordination with the larger global trading team Our ideal candidate is ...

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Algorithmic Trading Team Lead information

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How much do algorithmic trading team lead jobs pay per year?

As of Sep 13, 2026, the average yearly pay for algorithmic trading team lead in the United States is $100,673.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,500.00 and $125,000.00 per year, depending on experience, location, and employer.

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Infographic showing various Algorithmic Trading Team Lead job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 18% Part Time, and 4% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $100,673 per year, or $48.4 per hour.

Quantitative Trading & Research - Algorithmic Execution - Analyst

Rochester, NY • On-site

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

Other

Posted 25 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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