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Algorithmic Execution Quant Jobs in Lyndhurst, NJ

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 ...

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All JobsAlgorithmic Execution Quant JobsAlgorithmic Execution Quant Jobs in Lyndhurst, NJ

Algorithmic Execution Quant information

See Lyndhurst, NJ salary details

$53.5K

$121.3K

$200.1K

How much do algorithmic execution quant jobs pay per year?

As of Sep 14, 2026, the average yearly pay for algorithmic execution quant in Lyndhurst, NJ is $121,326.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,900.00 and $155,300.00 per year, depending on experience, location, and employer.

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.

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.

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.

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 cities near Lyndhurst, NJ are hiring for Algorithmic Execution Quant jobs?

Cities near Lyndhurst, NJ with the most Algorithmic Execution Quant job openings:

Algorithmic Execution Quant jobs near you
Infographic showing various Algorithmic Execution Quant job openings in Lyndhurst, NJ as of June 2026, with employment types broken down into 91% Full Time, and 9% Part Time. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $121,326 per year, or $58.3 per hour.

Quantitative Trading & Research - Algorithmic Execution - Analyst

Manhattan, NY • On-site

JPMorgan Chase & Co.
Finance and Insurance • 10K+ employees
Learn more about JPMorgan Chase & Co.external

Other

Re-posted 15 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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