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

... algorithms and traditional logistic regression techniques. * Perform the full scope end-to-end ... related quantitative field and 4+ years' experience in model development / model validation ...

... algorithms and traditional logistic regression techniques. * Perform the full scope end-to-end ... related quantitative field and 4+ years' experience in model development / model validation ...

Senior Manager, Data Science

Chicago, IL ยท On-site +1

$122K - $228K/yr

Execution & Change Leadership * Manage complex, ambiguous problems by structuring analytical ... Expertise in machine learning and deep learning algorithms and frameworks. * Proficiency in Python ...

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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:

Senior Manager, Data Science

CHAMBERLAIN GROUP

Oak Brook, IL โ€ข Hybrid

$129K - $226K/yr

Full-time

Retirement

Posted 29 days ago


Job description

Chamberlain Group (CG) is a global leader in intelligent access and Blackstone portfolio company. Powered by our myQ technology, we make access simple and secure for millions of homeowners, businesses, and communities worldwide. Our flagship brands, LiftMaster and Chamberlain, are found in 51+ million homes, and 14 million+ people rely on the myQ app daily.

Job Summary

This hands-on role is responsible for working closely with business partners to identify opportunities where the application of innovative data science techniques and methods can dramatically advance Chamberlain Group's business objectives. You will transform these priority opportunities into incremental business value by leading, managing, and coaching data scientists in the design, development, and deployment of solutions to support

Chamberlain Group's transformation and rapid growth. This high visibility role works directly with senior leadersand has a tangible impact on the business.

Essential Duties and Responsibilities

  • Build relationships with business leaders and truly understand their strategy, key initiatives, and KPIs for success such that you have shared ownership for reaching their goals.

  • Lead, manage, and coach highly technical data scientists, including identifying, recruiting, and onboarding new talent.

  • Drive development and execution of the data science methodology and practices strategy.

  • Lead technical engagements with business unit and function stakeholders, as well as senior leaders.

  • Be a catalyst for advanced analytics and data science across Chamberlain Group.

  • Educate business users on advanced analytical concepts.

  • Work with various teams to drive the adoption of insights, models, and other output and the realization of incremental impact.

  • Identify and apply innovative analytical techniques to achieve business objectives.

  • Lead and directly engage in the design, development, and deployment of advanced analytics models and solutions, including predictive and prescriptive outputs, to enable business partners to make better data-driven decisions.

  • Identify and manage the relationship with outside data science resources and vendors.

  • Comply with health and safety guidelines and rules; managers should also ensure compliance across their teams.

  • Protect Chamberlain Group's reputation by keeping information confidential.

  • Maintain professional and technical knowledge by attending educational workshops, reading professional publications, establishing personal networks, and participating in professional societies.

  • Contribute to the team effort by accomplishing related results and participating on projects as needed.

Supervision Exercised

  • Motivate and lead a high performance team by attracting, developing, engaging and retaining team members

  • Drive the performance management and compensation processes by communicating job expectations, monitoring and evaluating performance, providing feedback and facilitating employee development per the company's policies

  • Maintain transparent communication by appropriately communicating organization information to team through department meetings, one-on-one meetings, appropriate email, IM and regular interpersonal communications

  • Lead and motivate individuals and teams to create a workplace culture that is consistent with the CG mission, vision and values.

Minimum Qualifications

Education/Certifications:

  • Master's Degree in data science, statistics, mathematics, econometrics, engineering, or other quantitative field of study

Experience:

  • 8+ years of relevant work experience; 2+ years directly managing data scientists

  • Knowledge, Skills, and Abilities:

  • Expert knowledge of statistics and advanced analytical and machine learning techniques, including forecasting, predictive modeling, network and cluster analysis

  • Demonstrated aptitude distilling complex business problems into clear data science and advanced analytics models and solutions that can and will be adopted and implemented

  • Ability to drive teams to success; ability to drive change and influence peers, leaders, collaborators, and individual contributors

  • Expertise directing, developing, and applying machine learning algorithms

  • Exceptional problem solving / analytical thinking skills

  • Outstanding communication skills, teamwork and collaboration, and attention to detail

  • Advanced expertise in Python, R, SQL

  • Experience working with data science tools (e.g., Databricks); distributed compute; manipulating, analyzing, and interpreting large-scale data; and scaling analytics in the cloud (e.g., Azure)

Preferred Qualifications

Education/Certifications:

Doctorate degree in data science, statistics, mathematics, econometrics, engineering, or other quantitative field of study

Experience:

Experience leading end-to-end data science project implementations working with Agile methodologies

Experience in analytical consulting roles

#LI-Hybrid

#LI-JM2

The pay range for this position is $129,700.00 - $226,900.00; base pay offered may vary depending on a number of factors including, but not limited to, the position offered, location, education, training, and/or experience. In addition to base pay, also offered is a comprehensive benefits package and 401k contribution (all benefits are subject to eligibility requirements). This position is eligible for participation in a short-term incentive plan subject to the terms of the applicable plans and policies.

Chamberlain Group wants all of its employees to succeed and encourages people of all backgrounds to apply. We're proud to be an Equal Opportunity Employer, and you'll be considered for this role regardless of race, color, religion, sex, national origin, age, sexual orientation, ancestry; marital, disabled or veteran status. We're committed to fostering an environment where people of all lived experiences feel welcome.

Persons with disabilities who anticipate needing accommodations for any part of the application process may contact, in confidence Recruiting@Chamberlain.com.


NOTE: Staffing agencies, headhunters, recruiters, and/or placement agencies, please do not contact our hiring managers directly.