ZipRecruiter

Log In

1

Automated Trading Jobs (NOW HIRING)

Atto Trading

Trading Operations Engineer

Lisbon, NY

$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 ...

DraftKings, Inc.

Senior Lead Trading Strategist

The Crown Is Yours As a Senior Lead Trading Strategist, you'll define and evolve the systems that power real-time market-making and automated trading at scale. You'll operate at the intersection of ...

SMB Capital

Experienced Equities Trader

New York, NY · On-site

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 ...

SMB Capital

Experienced Options Trader

New York, NY · On-site

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 ...

Old Mission

C++ Software Engineer

Manhattan, NY · On-site

They are seeking several C++ Software Engineers to build and optimize their automated trading infrastructure and develop trading algorithms. Responsibilities : • building and optimizing our current ...

Anson McCade

Junior Quantitative Trader

Chicago, IL · On-site

Permanent Our client is a proprietary trading firm specializing in electronic options market making. They take a technology-driven approach, designing and operating automated, scalable systems to ...

next page

Showing results 1-20

All JobsAutomated Trading Jobs

Automated Trading information

See salary details

$14

$36

$50

How much do automated trading jobs pay per hour?

As of Jul 12, 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.

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 with trading platforms, understanding financial markets, and obtaining relevant certifications such as the Chartered Financial Analyst (CFA) can improve prospects. Internships or entry-level roles in trading firms or hedge funds often serve as pathways into the industry.

How much money do algorithmic traders make?

Algorithmic traders can earn a wide range of salaries depending on experience, firm size, and performance, with many earning from $70,000 to over $200,000 annually. Successful traders who develop profitable algorithms and work in hedge funds or proprietary trading firms can also receive significant bonuses and profit-sharing incentives.

Can you make money with automated trading?

Automated trading involves using algorithms and software to execute trades automatically, which can generate profits but also carries risks of losses. Success depends on the quality of the trading strategy, market conditions, and proper risk management. Many traders and firms use backtesting and continuous monitoring to improve performance and reduce risks.

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.

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 July 2026, with employment types broken down into 89% Full Time, 7% Part Time, 3% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $76,005 per year, or $36.5 per hour.

Trading Operations Engineer

Atto Trading

Lisbon, NY

$150K - $200K/yr

Other

Retirement, PTO

Posted 17 days ago

Job description

About us:

Atto Trading is a quantitative trading firm operating a portfolio of signal-driven high-frequency strategies in cash equities and futures.

We are looking for a Trading Operations Engineer to join our team. As we expand into new markets, it's an especially exciting moment to join our international and diverse group of experts in trading, statistics, engineering, and technology. Our disciplined approach combined with rapid market feedback allows us to quickly turn ideas into profit. We work in an environment of learning & collaboration, which allows us to solve the world's hardest problems, together.

As a small firm, we remain nimble and hold ourselves to the highest standards of integrity, ingenuity, and effort.

What we do:

We trade stocks, and futures almost on all US exchanges such as: NASDAQ, NYSE, ARCA, EQ Cboe, CME, CFE, etc.

Position Highlights:

  • You'll play a critical role in the operation and monitoring of low-latency trading strategies implemented at Atto Trading.
  • You'll perform proactive analysis and upgrading of trading pipelines by writing scripts to automate and improve daily trading processes and reporting.

Advantages of our Company:

  • A company that continually invests in updating the technology stack.
  • Creative approach in choosing the hardware and software for the work you do.
  • A great team with a passion for continuous learning and improvement.
  • No external clients, we are the only users of the products we create.
  • Opportunity to have an impact on the company's bottom line by holding a significant position in the company.

Responsibilities:

  • 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 swiftly to unusual market behavior.
  • Collaborate with traders, engineers, brokers, and exchanges to resolve intraday issues in real time.
  • Communicate directly with exchanges and clearing members to investigate and resolve live trading issues.
  • Partner with software engineering teams to enhance and maintain trading infrastructure and internal monitoring systems.
  • Automate and optimize trading support workflows and pipelines using Python and Bash scripting.
  • Support daily risk operations by generating reports and executing defined risk procedures.
  • Document production incidents and maintain comprehensive logs and monitoring protocols.
  • Manage and maintain enterprise systems related to pipeline scheduling, software releases, and operational monitoring.
  • Assisting with new market deployments by collaborating with internal teams on infrastructure and connectivity.
  • Automate and optimize trading support workflows and pipelines using Python, Bash, and AI-based tooling.

Requirements:

  • 2+ years of experience in a trade support or risk operations role within financial markets (preferably with exposure to HFT).
  • Strong hands-on experience with Python/Jupyter/SQL for data analysis and automation.
  • Experience using Unix/Linux systems and command-line tools.
  • Experience applying AI-based solutions to improve operational workflows is advantageous.
  • Strong analytical and critical thinking skills with sharp attention to detail.
  • Proven ability to manage multiple priorities in fast-paced environments.
  • Strong interest in trading and finance, with a solid knowledge of electronic markets, market data, and exchange order entry systems.
  • Graduate degree in statistics, mathematics, science, or another quantitative discipline.

Benefits:

  • Competitive compensation package
  • Performance-based bonus opportunities
  • 401k plan
  • Mental health support, including access to therapy
  • Paid time off (25 days)
  • Relocation support (where applicable)
  • International team meet-ups
  • Learning and development support, including courses and certifications
  • Access to professional tools, software, and resources
  • Fully equipped workstations with high-quality hardware
  • Modern office with paid lunches

The base salary for this role is between $150,000 and $200,000. This does not include bonuses, benefits, or other components of total compensation.

Apply