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Algorithmic Execution Quant Jobs in Wheaton, IL (NOW HIRING)

Systematic Equity Options Trader

Chicago, IL ยท On-site +1

$170K - $250K/yr

Experience with statistical analysis, machine learning, and quantitative modeling techniques * Must have a strong understanding of the market microstructure and execution algorithms * Excellent ...

C++ Developer - Trading Platforms

Chicago, IL ยท On-site

$50.50 - $68/hr

... trade execution * Collaborate with quantitative analysts and product teams to implement and refine trading algorithms and strategies * Develop and maintain connectivity to exchanges, liquidity ...

Systematic Equity Options Trader

Chicago, IL ยท On-site

$170K - $250K/yr

Experience with statistical analysis, machine learning, and quantitative modeling techniques * Must have a strong understanding of the market microstructure and execution algorithms * Excellent ...

Operating grey and black box algorithmic trading strategies in accordance with the trading desk ... Strong analytical, quantitative, and math skills * Experience with Python is preferred * Ability to ...

Operating grey and black box algorithmic trading strategies in accordance with the trading desk ... Strong analytical, quantitative, and math skills * Experience with Python is preferred * Ability to ...

Operating grey and black box algorithmic trading strategies in accordance with the trading desk ... Strong analytical, quantitative, and math skills * Experience with Python is preferred * Ability to ...

... quantitative research and machine learning techniques * Build and refine algorithmic options trading models from ideation through production deployment * Analyze market microstructure and execution ...

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Algorithmic Execution Quant information

See Wheaton, IL salary details

$50.7K

$115.2K

$189.9K

How much do algorithmic execution quant jobs pay per year?

As of Jun 15, 2026, the average yearly pay for algorithmic execution quant in Wheaton, IL is $115,174.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,900.00 and $147,400.00 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.
What job categories do people searching Algorithmic Execution Quant jobs in Wheaton, IL look for? The top searched job categories for Algorithmic Execution Quant jobs in Wheaton, IL are:
What cities near Wheaton, IL are hiring for Algorithmic Execution Quant jobs? Cities near Wheaton, IL with the most Algorithmic Execution Quant job openings:
Systematic Equity Options Trader

Systematic Equity Options Trader

Old Mission

Chicago, IL โ€ข On-site, Remote

$170K - $250K/yr

Other

Posted 27 days ago


Job description

Old Mission is seeking a Systematic Equity Options Trader to join our growing options trading desk in our Chicago HQ. This Equity Options trader will be responsible for developing, implementing, and managing systematic trading strategies across equity options markets. This Equity Options Trader will work closely with our quantitative research and technology teams to develop systematic approaches that capitalize on market inefficiencies while effectively managing risk.

Responsibilities

  • Design and implement systematic trading strategies for equity options, including single-name options, index options, and volatility products
  • Build and maintain quantitative models for options pricing, volatility forecasting, and risk management
  • Monitor and optimize existing strategies, identifying opportunities for enhancement and improvement
  • Collaborate with quantitative researchers to translate research insights into production trading strategies
  • Manage portfolio risk through systematic hedging and position management
  • Analyze market microstructure and develop strategies to optimize execution quality
  • Work with technology teams to build robust, scalable trading infrastructure
  • Conduct post-trade analysis to evaluate strategy performance and identify areas for improvement

Required Qualifications

  • Bachelor's degree in Mathematics, Statistics, Computer Science, Physics, Engineering, or related quantitative field; advanced degree preferred
  • 4+ years of experience in systematic options trading, quantitative trading, or quantitative research
  • Strong understanding of options pricing theory, Greeks, and volatility dynamics
  • Proficiency in Python or C++ is a prerequisite
  • Experience with statistical analysis, machine learning, and quantitative modeling techniques
  • Must have a strong understanding of the market microstructure and execution algorithms
  • Excellent analytical and problem-solving skills
  • Ability to work effectively in a fast-paced, collaborative environment

Preferred Qualifications

  • Experience trading equity options or volatility products systematically
  • Knowledge of order book dynamics and high-frequency trading concepts
  • Familiarity with real-time data processing and low-latency systems
  • Track record of developing profitable quantitative trading strategies

Base Salary Rangeย 

$170,000 - $250,000 - Salaries are based on numerous factors such as skills, experience, and education. Our compensation package also includes a discretionary bonus and a comprehensive benefits program for full-time employees. For more information, reach out to your recruiter.ย