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Automated Trading Jobs (NOW HIRING)

TransMarket Group

Junior Software Engineer

Chicago, IL · On-site

Develop, code, maintain, and support production-quality automated components for global proprietary trading * Develop expertise in software development principles, C++, and high-performance automated ...

IMC

Systematic Index Options Trader

Chicago, IL · On-site +1

Strong understanding of exchange microstructure and how automated trading systems interact with exchanges * Entrepreneurial mindset with a competitive nature, strong ownership mentality, and a bias ...

Anson McCade

Quantitative Researcher

Manhattan, NY

Our client is seeking a talented Quantitative Researcher to join their team and contribute to the development of cutting-edge trading strategies within their automated trading framework. Key ...

Scalp Trade LLC

C++ Developer

Chicago, IL · On-site

$90K - $150K/yr

This role is pivotal to our dual mission: developing cutting-edge automated trading strategies and commercializing our existing trading platforms and tools. Our primary trading assets are equity ...

Next Step Systems

Data Science Developer

Chicago, IL · On-site

Responsibilities: - Develop processes to collect and analyze data for automated trading systems. - Define and implement new procedures as needed for data collection and analysis. - Improve process ...

Nomura International

Quant Trading Strategy

Manhattan, NY · On-site

$120K - $140K/yr

The team maintains its version of comprehensive order, trade, market data to continuously develop and refine models and research that drive automated trading decisions. This role will focus on the ...

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How much do automated trading jobs pay per hour?

As of Jun 22, 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 jobs make $10,000 a month without a degree?

In automated trading, roles such as algorithmic traders or quantitative analysts can potentially earn $10,000 or more monthly through developing and managing trading algorithms, often requiring strong programming skills and knowledge of financial markets. Success in these roles depends on experience, strategy performance, and market conditions, with some traders operating independently or within firms without formal degrees. High earnings are typically linked to performance-based compensation and risk management expertise.

How to get a job in algorithmic trading?

To get a job in algorithmic trading, candidates typically need a strong background in quantitative fields such as computer science, mathematics, or finance, along with programming skills in languages like Python, C++, or Java. Gaining experience through internships, developing trading algorithms, and understanding financial markets are also important, as well as familiarity with trading platforms and risk management tools.

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 jobs pay $500,000 a year in the US?

In the field of automated trading, senior quantitative traders, algorithm developers, and hedge fund managers can earn $500,000 or more annually, especially with bonuses and profit sharing. These roles typically require advanced skills in programming, finance, and data analysis, along with significant experience and a strong track record of performance.

How to get into automated trading?

To pursue a career in automated trading, develop strong programming skills in languages like Python or C++, learn about financial markets and trading strategies, and gain experience with trading platforms and APIs. Many professionals also pursue certifications such as the Chartered Market Technician (CMT) or Financial Risk Manager (FRM) to enhance their credentials.

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 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:
What job categories do people searching Automated Trading jobs look for? The top searched job categories for Automated Trading jobs are:
Automated Trading jobs near you
Infographic showing various Automated Trading job openings in the United States as of June 2026, with employment types broken down into 94% Full Time, and 6% Part Time. Highlights an 81% Physical, 8% Hybrid, and 11% Remote job distribution, with an average salary of $76,005 per year, or $36.5 per hour.

Software Engineer - Treasury Infrastructure - NYC- Innovative Algo Trading

Oxford Knight

Manhattan, NY • On-site

$190K - $226K/yr

Full-time

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

Job description

Location: New York City
Summary
Fantastic opportunity for motivated engineers at one of the world's top algorithmic trading firms in their New York office. This fully automated trading firm has a unique tech-focused culture where coders work on small, highly productive, and efficient teams exciting to design and improve the technology that powers worldwide trading.
This role is focused primarily on the design, architecture and implementation of software solutions that support the treasury functions using C++ and/or Python. Working closely with funding, finance, and optimization teams, you'll ensure the firm's treasury systems are efficient, secure, and scalable. You'll also maintain and optimize infrastructure, including databases, cloud services, and network configuration.
The successful candidate will be a fantastic communicator with both technical and non-technical colleagues alike, and have outstanding problem-solving skills.
Requirements
  • Bachelor's degree in Computer Science and/or a related field
  • Proven experience building treasury infrastructure
  • Strong background in C++ and/or Python programming and knowledge of OO design principles

Desirable
  • Familiarity with treasury operations / cash management / financial instruments
  • Database technologies (SQL, NoSQL) and data modeling knowledge

Benefits
  • Market-leading salary + bonuses + generous benefits package
  • Truly flat management structure, with no red tape
  • Friendly, informal yet highly rewarding work culture
  • Work with the latest technologies on complex problems with significant impact

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.
Contact
If you feel you are a strong match for this role, or would like more information, please get in touch:
Eoughin Perry
eoughin.perry@oxfordknight.com
linkedin.com/in/eoughin-perry-874b19195

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