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Automated Trading Jobs (NOW HIRING)

Trading, Portfolio Support, Chicago, IL We are seeking a motivated team player with technical aptitude and market awareness to support the operation of an automated trading system in Chicago. The ...

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 ...

$89K - $115K/yr

This role focuses on improving how automated trading decisions are designed, evaluated, and deployed in live markets. You will work at the intersection of quantitative research, execution, and risk ...

Our technology will help you play more offense and make more PnL: proprietary execution platform, custom filters, single stock scripts and automated trading. The SMB Capital - Kershner Trading Group ...

Manage risk and monitor automated trading strategies in real-time * Analyze trading performance and suggest improvements to existing algorithms * Collaborate with researchers to test and deploy new ...

Work with Sr. Software Developers to assist and learn all facets of software development applied to the automated trading business * Develop, code, maintain, and support production-quality automated ...

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Automated Trading information

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$14

$36

$50

How much do automated trading jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for automated trading in the United States is $36.54, according to ZipRecruiter salary data. Most workers in this role earn between $22.36 and $46.15 per hour, depending on experience, location, and employer.

What is automated trading?

Automated trading, also known as algorithmic trading, is the use of computer programs to automatically execute trades in financial markets based on predefined criteria or algorithms. These systems can analyze market data, identify trading opportunities, and place orders much faster than humans. Automated trading helps reduce the impact of emotions on trading decisions and can potentially increase efficiency and consistency. It is widely used by individual traders, hedge funds, and financial institutions.

What are the key skills and qualifications needed to thrive in automated trading?

To excel in Automated Trading, you need a strong background in quantitative analysis, programming (often in Python, C++, or Java), and financial markets, typically supported by a relevant degree in finance, mathematics, or computer science. Familiarity with trading platforms, algorithmic trading systems, and certifications such as CFA or FRM are highly valuable. Critical soft skills include analytical thinking, problem-solving, and the ability to work well under pressure. These competencies are crucial for developing robust trading strategies, managing risks, and succeeding in the fast-paced, technology-driven trading environment.

What are some common challenges faced by professionals in automated trading roles, and how can they be addressed?

Professionals in automated trading often encounter challenges such as ensuring algorithm robustness, managing system latency, and adapting to changing market conditions. Regularly backtesting strategies with historical and simulated data can help identify weaknesses before deploying algorithms live. Collaborating closely with software engineers and quantitative analysts enables quicker troubleshooting and optimization, while staying informed about regulatory changes ensures compliance. Building a habit of ongoing learning and peer review also helps mitigate risks and fosters innovation within the team.

What is the difference between Automated Trading vs Algorithmic Trading?

AspectAutomated TradingAlgorithmic Trading
CredentialsTrading licenses, financial certificationsSame as Automated Trading
Work EnvironmentTrading platforms, financial firmsQuant labs, trading firms
Industry UsageFinancial markets, hedge fundsFinancial markets, hedge funds
Primary FocusExecuting trades automatically based on predefined rulesDeveloping complex algorithms to generate trading strategies

Automated Trading involves using software to execute trades automatically based on predefined rules, focusing on trade execution. Algorithmic Trading, on the other hand, emphasizes designing and refining complex algorithms to generate trading signals and strategies. While both roles require similar credentials and are used within financial markets, Automated Trading is more about executing existing strategies, whereas Algorithmic Trading involves creating and optimizing those strategies.

How to be an automated trader?

To become an automated trader, develop strong programming skills in languages like Python or C++, learn about trading algorithms and strategies, and gain experience with trading platforms and APIs. Familiarity with financial markets, risk management, and backtesting tools is also essential for designing effective automated trading systems.

Is automated trading profitable?

Automated trading can be profitable for traders who develop effective algorithms and have strong risk management skills. However, it also involves significant risks, market volatility, and the need for continuous monitoring and optimization of trading strategies. Success depends on the trader's expertise, tools, and market conditions.
More about Automated Trading jobs

What states have the most Automated Trading jobs?

States with the most job openings for Automated Trading jobs include:

Infographic showing various Automated Trading job openings in the United States as of September 2026, with employment types broken down into 3% Internship, 83% Full Time, 7% Temporary, and 7% Contract. Highlights an 97% In-person, and 3% Hybrid job distribution, with an average salary of $76,005 per year, or $36.5 per hour.

Junior Quantitative Trader

Chicago, IL • On-site

Full-time

Re-posted 8 days ago


Job description

We are seeking a Junior Quantitative Trader to join our Chicago office. This role focuses on quantitative research, model development, and supporting trading strategy execution in a live sports-driven environment.
This position is ideal for an early-career quantitative candidate who is excited to work directly with traders and developers while gaining hands-on exposure to live trading systems.
Responsibilities
  • Assist in building and maintaining predictive models and trading strategies
  • Conduct quantitative research using statistical techniques
  • Support development and maintenance of automated trading systems
  • Monitor model performance and assist with testing, validation, and deployment
  • Collaborate with traders and developers to improve systems and workflows
  • Support operational and production tasks tied to live trading
  • Work evenings and weekends during active sports schedules
Required Skills
  • 0–2 years of experience in a quantitative or analytical role
  • Proficiency in R, Python, and/or SQL
  • Familiarity with regression and foundational statistical modeling techniques
  • Strong analytical and problem-solving skills
  • Willingness to contribute to operational and production support
  • Availability to work evenings and weekends aligned with sports schedules
Nice to Have
  • Experience in sports analytics
  • Strong knowledge of major sports
  • Interest in trading, betting markets, or quantitative finance
  • Experience working with market data (financial, crypto, or sports)