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Automated Trading Jobs in California (NOW HIRING)

Collaborate with engineering on trading and pricing infrastructure, including API integrations, automated monitoring, alerting, anomaly detection, and execution tooling * Work closely with Sports ...

Collaborate with engineering on trading and pricing infrastructure, including API integrations, automated monitoring, alerting, anomaly detection, and execution tooling * Work closely with Sports ...

Digital Media Manager

San Francisco, CA · On-site

$105K - $136K/yr

Deploy AI bidding strategies, automated trading rules, and intelligent workflows to eliminate tedious manual setup steps, optimize DCO creative variations, and scale real-time campaign performance.

Trade Compliance Manager

San Jose, CA · On-site +1

$145K - $170K/yr

Our automated and AI-enabled technology empowers researchers to tackle complex questions and gain ... The Trade Compliance Manager is responsible for leading the trade compliance matters at Molecular ...

Trade Compliance Manager

San Jose, CA · On-site

$145K - $170K/yr

Our automated and AI-enabled technology empowers researchers to tackle complex questions and gain ... The Trade Compliance Manager is responsible for leading the trade compliance matters at Molecular ...

Trade Compliance Manager

San Diego, CA · On-site +1

$145K - $170K/yr

Our automated and AI-enabled technology empowers researchers to tackle complex questions and gain ... The Trade Compliance Manager is responsible for leading the trade compliance matters at Molecular ...

Trade Compliance Manager

San Francisco, CA · On-site +1

$145K - $170K/yr

Our automated and AI-enabled technology empowers researchers to tackle complex questions and gain ... The Trade Compliance Manager is responsible for leading the trade compliance matters at Molecular ...

Trade Compliance Manager

Los Angeles, CA · On-site +1

$145K - $170K/yr

Our automated and AI-enabled technology empowers researchers to tackle complex questions and gain ... The Trade Compliance Manager is responsible for leading the trade compliance matters at Molecular ...

Foundational expertise with automated export system (AES) and electronic export information (EEI ... As a Trade Compliance Specialist, you will: * Promote and foster a safe work environment at Ontic.

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Showing results 1-20

Automated Trading information

See California salary details

$14

$36

$49

How much do automated trading jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for automated trading in California is $36.06, according to ZipRecruiter salary data. Most workers in this role earn between $22.07 and $45.53 per hour, depending on experience, location, and employer.

How to become an automated trader?

To become an automated trader, you should 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 automated traders also pursue certifications in finance or trading and continuously test and optimize their algorithms using historical data and backtesting tools.

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.

Can you make money with automated trading?

Automated trading involves using algorithms and software to execute trades, and it can generate profits if the strategies are well-designed and market conditions are favorable. However, it also carries risks, and consistent profitability is not guaranteed, requiring skills in programming, market analysis, and risk management. Many traders experience both gains and losses, and success depends on strategy quality and market volatility.

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.

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.

Infographic showing various Automated Trading job openings in California as of August 2026, with employment types broken down into 67% Full Time, and 33% Temporary. Highlights an 100% In-person job distribution, with an average salary of $75,009 per year, or $36.1 per hour.

Algorithm Development (Quant Research & Trading) Internship - Summer 2027

Hudson River Trading

London, CA

Temporary, Internship

Posted 25 days ago


Job description

We do not allow multiple applications. Please apply to the ONE role you are most interested in and we will consider you for all open positions when reviewing your application.

Hudson River Trading (HRT) is seeking exceptional full-time students to join our Algorithm Development Summer Internship Program. Algorithm Developers at HRT focus on the research and implementation of automated trading strategies. As an intern, you will have the opportunity to rotate between our high- and mid-frequency trading teams, as well as our machine learning teams. In close collaboration with full-time mentors, you will apply sophisticated quantitative modeling techniques to understand and predict market behavior and write software to improve our trading strategies.

Ideal candidates are quantitatively-driven and practically-minded programmers, scientists, and mathematicians who are excited to solve the most challenging problems in our field.

What to Expect

  • Leverage our proprietary infrastructure (Python/C++) in conjunction with third-party tools to conduct quantitative research and data analysis
  • Use machine learning and time series techniques to derive novel insights on market behavior from large and complex datasets
  • Work on impactful projects in close collaboration with experienced researchers, traders, and developers
  • Utilize our world-class compute cluster to run simulations and crunch data
  • Build predictive models for financial markets using a combination of market and non-market data
  • Attend and participate in Tech Talks that provide an overview of markets and HRT's trading philosophy
  • Enjoy a curriculum of speakers, trading games, mentorships, and social events throughout the summer

Qualifications

  • You are a full-time undergraduate or master's student in a quantitative discipline (math, physics, computer science, statistics, or a related program)
  • Experience programming in Python is a must; C++ is desired for those interested in low-latency trading
  • Experience with statistical analysis, numerical programming, or machine learning in Python, Pandas/Numpy, R, and/or MATLAB
  • A passion for applying quantitative models and technology toward solving real-world problems
  • Strong communication skills

We offer a weekly base salary offer in addition to a competitive signing bonus, company-paid housing, meals, and other perks.

New York: Weekly base salary of 5,800 USD
Singapore: Weekly base salary of 7,650 SGD
London: Weekly base salary of 4,350 GBP