1

Automated Trading Jobs (NOW HIRING)

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 ...

Trading Operations Engineer

New York, NY · On-site

$150K - $200K/yr

Monitor and manage Atto Trading's automated trading systems, ensuring smooth and uninterrupted operations. * Proactively assess live trading activity for risk and compliance concerns, responding ...

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 ...

Professional execution platform, custom filters, single stock scripts and automated trading. The SMB Capital provides all capital and a PnL firm infrastructure to in-house traders, who actively trade ...

Lead the design of the next evolution of our automated trading platform. Design UI architectures that clearly surface critical real-time information across markets and trading applications ...

They are seeking C++ Software Engineers to build and optimize automated trading infrastructure and develop the next generation of trading algorithms and strategies. Responsibilities : • building ...

next page

Showing results 1-20

Automated Trading information

See salary details

$14

$36

$50

How much do automated trading jobs pay per hour?

As of May 29, 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 are the key skills and qualifications needed to thrive in Automated Trading, and why are they important?

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 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.

Does automated trading really work?

Automated trading is a legitimate method used by traders and financial firms to execute trades using algorithms and software. Its effectiveness depends on the quality of the algorithms, market conditions, and proper risk management; it can improve execution speed and reduce emotional bias but also carries risks of losses if not carefully monitored. Successful automated traders often have skills in programming, finance, and data analysis, and they continuously optimize their systems to adapt to market changes.

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.

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 May 2026, with employment types broken down into 83% Full Time, 6% Part Time, and 11% Contract. Highlights an 100% In-person job distribution, with an average salary of $76,005 per year, or $36.5 per hour.

Quantitative Options Trader

Edgehog Trading

Chicago, IL • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 24 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:
  • 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 (1-4 years) with a proven track record of success managing an options market making book and maintaining/improving automated trading systems
  • 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
  • Strong python programming skills

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 USD per year