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Entry Level Algorithmic Trading Quant Jobs in Chicago, IL

Eagle Seven

Junior Trader

Chicago, IL · On-site

Executing algorithmic trading strategies in accordance with the trading desk's objectives ... Assisting quantitative traders in performing research for new trading strategies Requirements

Eagle Seven

Junior Trader

Chicago, IL

Executing algorithmic trading strategies in accordance with the trading desk's objectives ... Assisting quantitative traders in performing research for new trading strategies Requirements

Eagle Seven

Junior Trader

Chicago, IL · On-site

Executing algorithmic trading strategies in accordance with the trading desk's objectives ... Assisting quantitative traders in performing research for new trading strategies Requirements

Virtu Financial

Quantitative Trader

Chicago, IL · On-site

$150K - $200K/yr

... algorithmic trading strategies deployed on electronic trading venues around the world. During an intensive period of mentorship and training in trade floor operations, Quantitative Traders learn the ...

Virtu Financial

Quantitative Trader

Chicago, IL · On-site

$150K - $200K/yr

... algorithmic trading strategies deployed on electronic trading venues around the world. During an intensive period of mentorship and training in trade floor operations, Quantitative Traders learn the ...

Anson McCade

Junior Quantitative Trader

Chicago, IL · On-site

What you'll do: • Design and optimize systematic options trading strategies using quantitative research and machine learning techniques • Build and refine algorithmic trading models from ideation ...

Motion Recruitment

Node Engineer / Backend

Chicago, IL · On-site

... quantitative analysts, and investment teams. We're looking for a senior Node.js engineer to help ... You'll work on the infrastructure behind algorithmic trading tools, data ingestion pipelines, large ...

IMC

Graduate Quantitative Trader

Chicago, IL

$250K/yr

As a Quant Trader, you will be part of highly motivated team facing the daily challenge of managing ... Develop, maintain, and improve trading strategies and algorithms * Solve complex problems to make a ...

IMC

Graduate Quantitative Trader

Chicago, IL · On-site

$250K/yr

As a Quant Trader, you will be part of highly motivated team facing the daily challenge of managing ... Develop, maintain, and improve trading strategies and algorithms * Solve complex problems to make a ...

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All JobsAlgorithmic Trading Quant JobsEntry Level Algorithmic Trading Quant JobsEntry Level Algorithmic Trading Quant Jobs in Chicago, IL

Entry Level Algorithmic Trading Quant information

See Chicago, IL salary details

$54.1K

$122.8K

$202.4K

How much do entry level algorithmic trading quant jobs pay per year?

As of Jul 14, 2026, the average yearly pay for entry level algorithmic trading quant in Chicago, IL is $122,758.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,900.00 and $157,100.00 per year, depending on experience, location, and employer.

What are some common challenges faced by entry-level algorithmic trading quants during their first year on the job?

Entry-level algorithmic trading quants often encounter challenges such as adapting to fast-paced environments where quick decision-making and consistent performance are essential. They may need to bridge the gap between academic theory and real-world market behavior, learning to develop, backtest, and refine trading strategies under time constraints. Collaborating with traders, developers, and risk managers is also crucial, requiring strong communication skills to ensure strategies are both technically sound and aligned with business goals. Additionally, staying current with evolving market data and technology platforms is a constant learning curve.

What does an Entry Level Algorithmic Trading Quant do?

An Entry Level Algorithmic Trading Quant is responsible for developing, testing, and implementing mathematical models and computer algorithms to execute trades in financial markets automatically. They analyze large datasets to identify trading opportunities, optimize trading strategies, and manage risks. Typically, they work closely with senior quants, software engineers, and traders to ensure the performance and reliability of trading systems. Their role often includes coding, statistical analysis, and monitoring live trades to ensure algorithms function as intended.

What are the key skills and qualifications needed to thrive as an Entry Level Algorithmic Trading Quant, and why are they important?

To thrive as an Entry Level Algorithmic Trading Quant, you need strong quantitative skills, programming proficiency (often in Python or C++), and at least a bachelor's degree in a technical field such as mathematics, computer science, or engineering. Familiarity with data analysis tools, financial modeling software, and version control systems like Git is typically required, and knowledge of financial markets or certifications like CFA can be beneficial. Analytical thinking, attention to detail, and effective teamwork are crucial soft skills that set high performers apart. These competencies enable quants to develop robust trading strategies, identify market opportunities, and collaborate efficiently in a high-stakes, fast-paced environment.

What is the difference between Entry Level Algorithmic Trading Quant vs Quantitative Research Analyst?

AspectEntry Level Algorithmic Trading QuantQuantitative Research Analyst
Required CredentialsBachelor's in Math, CS, or Finance; programming skillsBachelor's or Master's in Math, Stats, or Finance; programming skills
Work EnvironmentTrading firms, hedge funds, financial institutionsResearch labs, financial firms, asset managers
Employer & Industry UsageHigh-frequency trading, algorithmic trading teamsResearch-focused, model development for investments
Comparison Search IntentYesYes

Entry Level Algorithmic Trading Quants focus on developing trading algorithms used in live markets, often working directly with trading desks. Quantitative Research Analysts primarily conduct research to develop models and strategies that inform investment decisions. While both roles require strong quantitative skills and programming knowledge, the Trading Quant emphasizes implementation in trading environments, whereas the Research Analyst emphasizes model development and analysis.

What are the most commonly searched types of Algorithmic Trading Quant jobs in Chicago, IL? The most popular types of Algorithmic Trading Quant jobs in Chicago, IL are:
What are popular job titles related to Entry Level Algorithmic Trading Quant jobs in Chicago, IL? For Entry Level Algorithmic Trading Quant jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Entry Level Algorithmic Trading Quant jobs in Chicago, IL look for? The top searched job categories for Entry Level Algorithmic Trading Quant jobs in Chicago, IL are:
Entry Level Algorithmic Trading Quant jobs near you

Quantitative Developer - New Graduate

Dime Line Trading

Chicago, IL • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

What you'll do:
  • Contribute to the research, design, and implementation of predictive statistical and machine learning models.
  • Prototype and backtest models, monitor performance, and assist with optimizations.
  • Contribute to key feature development for model efficiency
  • Develop and maintain Python codebases in a Linux environment.
  • Help to design and implement new pricing models and frameworks
  • Support data pipeline and SQL database interactions for real-time models.
  • Assist in improving trading systems and operational tools.
  • Gain exposure to multiple sports, quantitative disciplines, and production engineering.
  • Other duties as assigned.
Skills you'll need:
  • Proficiency in Python (experience in R or other languages a plus).
  • Strong interest in statistical modeling, machine learning, or predictive analytics.
  • Familiarity with Linux and SQL databases.
  • Ability to work in a fast-paced environment and manage multiple tasks.
  • Interest in sports and sports analytics / sabermetrics.
  • Strong problem-solving and communication skills.
  • Predictable and reliable availability
It's great to see:
  • Coursework in statistics, optimization, computer science, or related fields.
  • Prior internship or project experience in trading, quantitative research, or software engineering.
  • Exposure to object-oriented development, real-time systems, or algorithmic trading models.
  • Experience with sports gambling, fantasy sports, or predictive analytics applied to sports.