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Algorithmic Execution Quant Jobs in Wayne, PA (NOW HIRING)

Venerable

AVP Risk Strategist

West Chester, PA · On-site

$115K - $148K/yr

Contribute to infrastructure development of quantitative tools to conduct research and support ... Curve-fitting, Optimization, Root-Finding Algorithms, Interpolation, Statistics, etc. * Ownership ...

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All JobsAlgorithmic Execution Quant JobsAlgorithmic Execution Quant Jobs in Wayne, PA

Algorithmic Execution Quant information

See Wayne, PA salary details

$47.6K

$108K

$178.1K

How much do algorithmic execution quant jobs pay per year?

As of Jul 27, 2026, the average yearly pay for algorithmic execution quant in Wayne, PA is $107,984.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,100.00 and $138,200.00 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 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 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 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 cities near Wayne, PA are hiring for Algorithmic Execution Quant jobs? Cities near Wayne, PA with the most Algorithmic Execution Quant job openings:
Algorithmic Execution Quant jobs near you
Quantitative Researcher - Portfolio Optimization

Quantitative Researcher - Portfolio Optimization

Stevens Capital Management LP

Radnor, PA • On-site

$150K - $300K/yr

Full-time

Medical, Dental, Retirement

Posted 18 days ago

Job description

SCM is committed to a workplace that values and promotes diversity, inclusion and equal employment opportunity by ensuring that all employees are valued, heard, engaged and involved at work and have full opportunities to collaborate, contribute and grow professionally.
We are currently seeking a highly driven, well organized, and motivated candidate to join our team. SCM offers the opportunity to work in person, remotely or in a hybrid work environment.
Primary Responsibilities:
  • Design and implement multi-period portfolio optimization frameworks incorporating
    transaction costs, slippage, and other market frictions
  • Leverage MOSEK and other optimization solvers to build scalable and efficient models
  • Develop and refine intraday trading strategies and execution algorithms
  • Monitor and analyze model performance in a live trading environment

Requirements:
  • Strong quantitative background (PhD or Master's in Applied Math, Operations Research, Computer Science, or related field)
  • Proven experience with MOSEK or other optimization frameworks
  • Deep understanding of slippage, transaction cost modeling, and intraday trading
  • Familiarity with real-time data processing and execution systems
  • Programming skills in Python and/or C++
  • Experience integrating optimization routines in production trading systems

The base pay for this position is anticipated to be between $150,000 and $300,000 per year. The anticipated annual base pay range is current as of the time this job post was generated. This position is eligible for other forms of compensation and benefits, such as a bonus, health and dental plans and 401(k) contributions, which includes a discretionary profit sharing program. An employee's bonus and related compensation benefits can be a significant portion of total compensation. Actual compensation for successful candidates will be carefully determined based on a number of factors, including their skills, qualifications and experience.

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