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

Keyrock

Head of Engineering - Options

Chicago, IL · Remote

Partner closely with trading, quant, product, risk, and infrastructure stakeholders * Balance ... Strong understanding of algorithmic options trading, including automated quoting, execution ...

DRW

FPGA Developer

Chicago, IL · On-site

$225K/yr

... quantitative researchers, and traders. Collaborating closely, you will contribute across the full ... Ultra-low-latency trading strategies * Complex algorithmic trading systems * Low level ...

DRW

Software Developer

Chicago, IL · On-site

$225K/yr

... quantitative researchers, and traders. Collaborating closely, you will contribute across the full ... Complex algorithmic trading systems * Real time trade management and risk analysis platforms * Low ...

Synchrony Financial

AVP, Model Validation

Chicago, IL · On-site

... 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 ...

Synchrony

AVP, Model Validation

Chicago, IL · On-site

... 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 ...

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Showing results 41-56

All JobsAlgorithmic Execution Quant JobsAlgorithmic Execution Quant Jobs in Wheaton, IL

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 Aug 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 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 Wheaton, IL are hiring for Algorithmic Execution Quant jobs?

Cities near Wheaton, IL with the most Algorithmic Execution Quant job openings:

Algorithmic Execution Quant jobs near you

Senior US Index Options Trader

Edgehog Trading

Chicago, IL • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 9 days ago

Job description

About us
Edgehog Trading is a proprietary trading firm specializing in electronic options market making. We take a technology-driven approach, designing and operating automated, scalable systems to provide liquidity across markets.
Our team spans trading, engineering, and business operations, working together to build and support the systems that power the firm. We emphasize data-driven decision making, rigorous problem solving, and continuous improvement to navigate complex and evolving markets.
We operate in a highly collaborative environment where ideas can move quickly from concept to implementation, and where individuals are empowered to take ownership and contribute directly to the firm's growth.
What you'll do:
  • Proactively manage pricing and positions for the SPX Index options market making desk
  • Design and optimize systematic options trading strategies using quantitative research and machine learning techniques
  • Build and refine algorithmic options trading models from ideation through production deployment
  • Analyze market microstructure and execution quality to generate alpha signals and improve strategy performance
  • Collaborate with quant researchers and engineers to develop new models using our proprietary datasets
  • Manage real-time risk across a diversified portfolio of options positions

Qualifications and skills:
  • Previous experience trading (3+ years) with a proven track record of success managing an index options market making book
  • BA/BS/MS/PhD degree in Computer Science, Data Science, Engineering, Math, Economics, Finance, Physics, or related field
  • Exceptional attention to detail
  • Excellent quantitative and analytical skills
  • Ability to take on many responsibilities quickly with a high degree of operational excellence
  • Python programming skills are a plus, but not required

Why Edgehog:
  • Small team advantage: Direct access to founders and senior team members from day one
  • Ownership early: Manage real P&L and make meaningful impact within your first year
  • Cutting-edge tech: Work with our proprietary models and low-latency trading systems built in-house
  • Tight feedback loops: Monthly 1-on-1s with your mentor, quarterly reviews with leadership
  • Chicago-based: Affordable cost of living, vibrant trading community

Benefits:
  • Comprehensive health, dental, and vision insurance with premiums 100% covered by the firm
  • 401(k) with a 4% company match
  • Unlimited paid time off and sick leave
  • Free lunch, coffee, drinks, and snacks
  • Commuter benefits
  • Monthly happy hours and annual team events

The base salary range for this position is listed below. Base salary represents just one part of overall compensation; all full-time, permanent roles are eligible for a discretionary bonus and benefits, including items in the above list.
The base salary for this role is 150,000 - 175,000 USD per year

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