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Algorithmic Trading Jobs in California (NOW HIRING)

Professional-grade trading execution including multiple trading platforms, customizable routing, full access to all 'dark' and 'lit' execution venues, plus black box/algorithmic support. * Membership ...

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Sr Equity Options Trader

San Diego, CA · On-site +1

$86K - $144K/yr

... algorithmic trading Bachelor's degree Pay Range: $86,726.00 - $144,612.00 Actual base salary varies based on factors, including but not limited to, relevant skill, prior experience, education, base ...

An interest in financial data or algorithmic trading. Notice about phishing scams Be cautious of phishing scams impersonating Databento that offer fake job interviews and request purchases. Official ...

An interest in financial data or algorithmic trading. Notice about phishing scams Be cautious of phishing scams impersonating Databento that offer fake job interviews and request purchases. Official ...

An interest in financial data or algorithmic trading. Notice about phishing scams Be cautious of phishing scams impersonating Databento that offer fake job interviews and request purchases. Official ...

Quantitative Trading Strategist

Berkeley, CA · On-site

$148K - $191K/yr

Domains include improving algorithmic execution, securities lending, and portfolio financing across a variety of asset classes and markets. You will work at the intersection of trading and research ...

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Algorithmic Trading information

See California salary details

$73.5K

$84.6K

$92.8K

How much do algorithmic trading jobs pay per year?

As of Sep 13, 2026, the average yearly pay for algorithmic trading in California is $84,627.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,900.00 and $89,800.00 per year, depending on experience, location, and employer.

What is algorithmic trading?

Algorithmic trading involves trading in equities, currencies, or other financial instruments using computer programs. A trading program uses an algorithm to calculate current market conditions. This trading method is automated, so the program buys or sells the financial instrument when the algorithm says that the market meets all the requirements for a profitable trade. To create an algorithm, you perform mathematical and statistical analysis, also known as quantitative analysis, on an exchange or equity. After creating an algorithm with defined trading rules, you test it using historical market data. While this is primarily a technical field, you also need an understanding of the market.

What is algorithmic trading?

Algorithmic trading refers to the use of computer programs and algorithms to automatically execute trading orders in financial markets. These algorithms follow predefined rules based on factors like price, timing, and volume to optimize trading strategies and reduce human intervention. Algorithmic trading is widely used by institutional investors, hedge funds, and individual traders to increase efficiency, minimize costs, and capitalize on market opportunities. It can range from simple rule-based systems to complex strategies involving machine learning and artificial intelligence.

What are the key skills and qualifications needed to thrive as an algorithmic trader, and why are they important?

To thrive as an Algorithmic Trader, you need a strong background in quantitative analysis, programming (often Python, C++, or Java), and a solid understanding of financial markets, typically supported by a degree in mathematics, engineering, finance, or computer science. Familiarity with statistical modeling tools, trading platforms, and backtesting systems is essential, and certifications such as CFA or FRM can be advantageous. Superior problem-solving skills, attention to detail, and the ability to work under pressure set standout professionals apart in this field. These skills are crucial to developing, implementing, and refining trading strategies that can operate profitably and reliably in fast-moving financial environments.

What are the main challenges faced by professionals in algorithmic trading, and how can they be addressed?

Professionals in algorithmic trading often encounter challenges such as developing strategies that remain effective in rapidly changing markets, minimizing latency for faster execution, and managing the risks associated with automated trading systems. To address these challenges, it's essential to stay updated with the latest market trends and technological advancements, conduct rigorous backtesting of algorithms, and implement robust risk management protocols. Collaboration with quantitative analysts, software engineers, and risk managers is also key to ensuring strategies are both innovative and resilient.

What is the difference between Algorithmic Trading vs Quantitative Analyst?

AspectAlgorithmic TradingQuantitative Analyst
Required CredentialsDegree in finance, computer science, or related field; programming skillsDegree in mathematics, statistics, or finance; strong analytical skills
Work EnvironmentTrading firms, hedge funds, financial institutions; fast-pacedInvestment banks, asset management firms; research-focused
Employer & Industry UsageUsed to automate trading strategiesDevelops models to inform trading decisions

While both roles involve quantitative skills and finance knowledge, Algorithmic Traders focus on implementing automated trading systems, whereas Quantitative Analysts develop models and strategies that may be used by traders or firms. The roles often overlap but differ mainly in their primary focus: execution versus modeling.

What are the most commonly searched types of Algorithmic Trading jobs in California?

The most popular types of Algorithmic Trading jobs in California are:

What are popular job titles related to Algorithmic Trading jobs in California?

For Algorithmic Trading jobs in California, the most frequently searched job titles are:

What job categories do people searching Algorithmic Trading jobs in California look for?

The top searched job categories for Algorithmic Trading jobs in California are:

What cities in California are hiring for Algorithmic Trading jobs?

Cities in California with the most Algorithmic Trading job openings:

Infographic showing various Algorithmic Trading job openings in California as of September 2026, with employment types broken down into 1% Internship, 88% Full Time, 8% Part Time, 1% Temporary, and 2% Contract. Highlights an 82% Physical, 6% Hybrid, and 12% Remote job distribution, with an average salary of $84,627 per year, or $40.7 per hour.

AI-Driven Algorithmic Trading Strategist

Berkeley, CA • On-site

The Voleon Group
Investment Management and Consulting Services • 11 - 50 employees

$148K - $191K/yr

Other

Posted 11 days ago


Job description

The Voleon Group in Berkeley, California is seeking a Quantitative Trading Specialist (QTS) to leverage deep market knowledge and quantitative skills for systematic trading strategies. You will enhance algorithmic execution, conduct research, and collaborate across teams. This role seeks candidates with over 3 years of quantitative trading experience and proficiency in Python, R, and SQL.

Offering a competitive compensation package and a collegial work environment with daily catered lunches and talks from industry experts, the position aims to integrate research and trading knowledge in a modern office setting.

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Voleon Group logo

About Voleon Group

Sourced by ZipRecruiter

Industry

Investment management and consulting services

Company size

11 - 50 Employees

Headquarters location

Berkeley, CA, US

Year founded

2007