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Automated Trading Jobs in California (NOW HIRING)

Swish Analytics

Trading Analyst

San Francisco, CA · On-site

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

Swish Analytics

Trading Analyst

San Francisco, CA · On-site +1

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

Waymo

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.

Danaher

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 ...

Danaher

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 ...

Danaher

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 ...

New

Danaher

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 ...

New

Ontic

Trade Compliance Specialist

Chatsworth, CA · On-site

$85K - $100K/yr

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.

Ontic

Trade Compliance Specialist

Los Angeles, CA · On-site

$85K - $100K/yr

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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All JobsAutomated Trading JobsAutomated Trading Jobs in California

Automated Trading information

See California salary details

$14

$36

$49

How much do automated trading jobs pay per hour?

As of Jul 30, 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.

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.

What are popular job titles related to Automated Trading jobs in California? For Automated Trading jobs in California, the most frequently searched job titles are:
What job categories do people searching Automated Trading jobs in California look for? The top searched job categories for Automated Trading jobs in California are:
Automated Trading jobs near you
Infographic showing various Automated Trading job openings in California as of July 2026, with employment types broken down into 82% Full Time, and 18% Contract. Highlights an 100% In-person job distribution, with an average salary of $75,009 per year, or $36.1 per hour.

Data Production Engineer

Hudson River Trading

London, CA

Other

Posted 15 days ago

Job description

Hudson River Trading (HRT) is looking for a Data Production Engineer to join our Data team. Data is at the core of everything we do at HRT; we excel at deriving deep insights from all types of data, allowing us to achieve consistent success in a dynamic market. 

This role is an opportunity to work directly with live trading teams to support one of the largest automated trading systems in the world. You will write automation, explore data, work closely with our research and trading teams, and interact with a variety of external partners such as data providers, brokers, and exchanges. In addition to being a critical part of the trading process, you will have the opportunity to acquire, analyze, and prepare data for quantitative research. 

Responsibilities

  • Data Engineering: Write tools to classify, onboard, and reconcile data. Onboard datasets, explore data, and automate tasks using a modern Python data stack
  • Data Analysis: Parse, analyze, and understand data sets. Perform data reconciliations, validations, and quality checks. Identify and develop new processes within the data request process to enrich data. Assist our researchers in cleaning and featurizing data
  • Data Debugging: Find anomalies in derived datasets and trace the issues back to their source. This can include using a mix of deductive reasoning, technical analysis, and communicating with multiple stakeholders in a data pipeline
  • Production Support: Provide proactive oversight of our data pipeline, handle inquiries from internal customers, and resolve issues under efficient turnaround times

Profile

  • Track record of being detail-oriented and thorough
  • You excel in problem solving and researching large datasets to resolve complex issues
  • You have a collaborative attitude that lends itself to cross-team customers and projects 
  • You thrive in the fast-paced environment of a daily live trading operation 

Qualifications

  • 2+ years of experience in a data engineering/science role OR a degree in data science or a similar discipline 
  • Experience in Python strongly preferred 
  • Experience managing ETL pipelines is a plus
  • Experience with financial datasets (e.g. Refinitiv, S&P, Bloomberg) is a big plus
  • Comfortable with the Linux command line
  • Experienced in at least one SQL dialect (PostgreSQL, MSSQL, MYSQL) and able to use others as needed
  • Able to provide technical support in a production trading environment

Apply