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Algorithmic Execution Quant Jobs (NOW HIRING)

Nomura International

Quant Researcher

Manhattan, NY · On-site

$175K - $250K/yr

Design and enhance algorithmic execution strategies for optimal portfolio rebalancing and risk ... quantitative research, risk management, or trading at a financial institution * Strong ...

Man Group

Principal Quant

New York, NY · On-site

Global asset class coverage: lead the expansion of Man's internal algorithmic execution to global ... PhD or exceptional Masters / Bachelors qualification in a quantitative subject * Expertise in ...

Nomura International

Quant Researcher

Manhattan, NY

$175K - $250K/yr

Design and enhance algorithmic execution strategies for optimal portfolio rebalancing and risk ... quantitative research, risk management, or trading at a financial institution * Strong ...

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All JobsAlgorithmic Execution Quant Jobs

Algorithmic Execution Quant information

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$52.5K

$119.2K

$196.5K

How much do algorithmic execution quant jobs pay per year?

As of Jun 12, 2026, the average yearly pay for algorithmic execution quant 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.

What is the difference between Algorithmic Execution Quant vs Quantitative Trader?

AspectAlgorithmic Execution QuantQuantitative Trader
Primary FocusDeveloping and implementing algorithms for trade execution to minimize market impactCreating trading strategies to generate alpha and profit from market movements
Work EnvironmentQuantitative research teams, trading desks, technology-drivenTrading floors, portfolio management teams, research departments
Required SkillsProgramming, market microstructure, execution algorithmsQuantitative modeling, market analysis, strategy development

While both roles involve quantitative skills, an Algorithmic Execution Quant specializes in optimizing trade execution processes, whereas a Quantitative Trader focuses on developing strategies to generate profits. The roles often collaborate but serve different functions within trading firms.

What jobs pay 2000 a day?

Algorithmic Execution Quants working in finance or trading firms can sometimes earn $2,000 or more per day through high-frequency trading, proprietary trading, or managing large portfolios. These roles typically require advanced quantitative skills, programming expertise, and experience with trading platforms and financial models.

What are the key skills and qualifications needed to thrive as an Algorithmic Execution Quant, and why are they important?

To thrive as an Algorithmic Execution Quant, you need a strong background in quantitative analysis, programming (often in Python or C++), and a solid understanding of financial markets, typically supported by an advanced degree in a quantitative discipline. Proficiency with statistical modeling tools, trading platforms, and market data systems, as well as familiarity with technologies like FIX protocol, is crucial. Strong problem-solving ability, attention to detail, and effective communication help you collaborate across trading, research, and technology teams. These skills are essential for designing, optimizing, and maintaining robust trading algorithms that achieve best execution and mitigate risk in fast-moving markets.

How much do algorithmic quants make?

Algorithmic execution quants typically earn between $100,000 and $200,000 annually at entry-level, with experienced professionals earning over $300,000 including bonuses. Compensation varies based on experience, firm size, location, and performance, and often includes bonuses tied to trading profits and technical skills in programming and quantitative analysis.

Is 40 too old to become an algorithmic execution quant?

Age is not a strict barrier to becoming an algorithmic execution quant, as the role values skills in programming, quantitative analysis, and financial markets. Many professionals transition into quant roles later in their careers by acquiring relevant knowledge through advanced degrees, certifications, or self-study. Success depends on your technical skills, experience, and ability to adapt to a fast-paced, data-driven environment.

What are some common challenges faced by Algorithmic Execution Quants when developing and deploying trading algorithms?

Algorithmic Execution Quants often encounter challenges such as adapting strategies to rapidly changing market conditions, managing latency and slippage, and ensuring compliance with regulatory requirements. They must also balance the need for innovation with the necessity for robust risk controls and system reliability. Collaboration with traders, developers, and risk managers is essential to refine algorithms and ensure they perform optimally in live trading environments.

Do JP Morgan hire quants?

Yes, JP Morgan hires quantitative analysts and algorithmic execution quants who develop trading algorithms, optimize execution strategies, and analyze market data. These roles typically require strong programming skills, knowledge of financial markets, and experience with quantitative modeling tools. JP Morgan is known for employing quants across its trading and risk management divisions.

What does an Algorithmic Execution Quant do?

An Algorithmic Execution Quant is responsible for designing, developing, and optimizing algorithms that execute large financial trades efficiently and at minimal cost. They analyze market microstructure, create models to predict market impact, and work closely with traders and engineers to implement these strategies in real-time trading systems. Their work is essential in minimizing transaction costs and improving trade execution quality for their firm.
More about Algorithmic Execution Quant jobs
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Algorithmic Execution Quant jobs near you
Infographic showing various Algorithmic Execution Quant job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution, with an average salary of $119,165 per year, or $57.3 per hour.
Execution Quant Trader

Execution Quant Trader

Scout Group LLC

Jersey City, NJ

$200K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 24 days ago

Job description

About Us

Scout Group LLC is a global proprietary trading firm operating at the intersection of finance, data science, and engineering. We leverage advanced technology, quantitative research, and deep market expertise to trade our own capital across global financial markets.

The Role

We are seeking an experienced Execution Quant Trader to join our trading team. This individual will play a critical role in designing and optimizing equity execution strategies to minimize slippage, improve execution quality, and scale automated trading workflows across U.S. markets.

Job Responsibilities

  • Own and enhance equity execution strategies for large portfolio-level orders
  • Design and implement execution algorithms to reduce slippage and market impact
  • Monitor, analyze, and iterate on execution performance metrics
  • Collaborate with Portfolio Managers and execution operations to translate portfolio needs into execution plans
  • Build tools and automation to scale execution across trading strategies
  • Maintain knowledge of venue rules, order types, exchange nuances, and regulatory constraints
  • Partner with quantitative researchers and developers to improve execution quality and infrastructure

Job Requirements

  • Strong quantitative and analytical background with a data-driven mindset
  • Solid coding skills with the ability to build, test, and deploy execution algorithms
  • 4 to 5+ years of relevant experience in equity execution, execution algorithms, or market microstructure
  • Deep understanding of U.S. market structure, order types, and venue-specific behaviors
  • Experience minimizing transaction costs and slippage across U.S. equities
  • Familiarity with execution across additional asset classes such as futures or corporate bonds is a plus

Preferred:

  • Experience at large banks, prop trading firms, or market makers with dedicated execution teams
  • Experience integrating with OMS/EMS platforms
  • Programming experience in Python, C++, or similar languages
  • Exposure to execution across additional asset classes such as futures or fixed income

What We Offer:

  • Salary up to $200,000 base per annum
  • Performance-driven compensation structure
  • Company paid Medical, Dental, and Vision
  • 401 (k) with 4% match
  • FSA and Commuter Benefits
  • Access to advanced trading technology and infrastructure
  • Collaborative environment with experienced traders, quants, and engineers
  • Opportunity to build and scale execution capabilities across global markets

Note: Scout Group partners with approved recruiting agencies only. Recruiters and agencies should not submit resumes unless specifically authorized by the HR team. Unsolicited resumes will not create an obligation for Scout Group to pay placement fees.