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Algorithmic Trading Jobs in Berkeley, CA (NOW HIRING)

De Circle

Odos - Integrations

San Francisco, CA · On-site +1

$122K - $164K/yr

Launched in May 2022, Odos is available on 16 EVM chains and uses a proprietary algorithm to deliver the best swap rates to retail and institutional traders. Our multi-token swap feature allows users ...

Triumph Arcade, Inc

Quant Strategist

San Francisco, CA · On-site

$200K - $400K/yr

... algorithms, risk models, and player behavior systems. The team is led by a former quant trader, and current members left careers in quantitative trading to be here. The problems are as deep and ...

Triumph

Quant Strategist

San Francisco, CA · On-site

$200K - $400K/yr

... algorithms, risk models, and player behavior systems. The team is led by a former quant trader, and current members left careers in quantitative trading to be here. The problems are as deep and ...

InMobi

Applied Scientist III

San Mateo, CA

Evaluate the long-term dynamics of deployed algorithms, incorporating feedback, exploitation-exploration trade-offs, and incentives within multi-agent systems. * Identify new areas for innovation by ...

Adobe

Principal Engineer AI/ML

San Francisco, CA · Remote

Implement and adapt techniques from academic research and industry papers; evaluate algorithmic trade-offs considering data requirements, latency, and runtime. * Handle cold-start scenarios and ...

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All JobsAlgorithmic Trading JobsAlgorithmic Trading Jobs in Berkeley, CA

Algorithmic Trading information

See Berkeley, CA salary details

$91.2K

$105K

$115.1K

How much do algorithmic trading jobs pay per year?

As of Jun 10, 2026, the average yearly pay for algorithmic trading in Berkeley, CA is $104,995.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,200.00 and $111,400.00 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 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 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 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.
More about Algorithmic Trading jobs
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Algorithmic Trading jobs near you
Trader - Program Trading & FX Team

Trader - Program Trading & FX Team

Artisan Partners

San Francisco, CA • On-site

$125K - $160K/yr

Full-time

Posted 27 days ago

Job description

Artisan Partners has an immediate opening for a Trader to work in our Program Trading & FX team. The Program Trading & FX team is responsible for the efficient execution of trades in support of implementing investment decisions as well as the evolution of Artisan's execution strategy. In addition, the team plays a critical role in supporting and scaling Artisan's ETF offering and platform, including building out the trading, liquidity, and ecosystem across both the primary and secondary markets. The trader will be an integral addition to this team.
The candidate should have a proven background in trading global equity baskets, algorithmic trading, dispersion and execution analysis, and portfolio construction. This role partners closely with trading, investment teams, trade operations, technology and compliance.
Location: San Francisco, CA
Responsibilities
The candidate is expected to:
  • Assist in the analysis and implementation of portfolio construction for account transitions, client and regulatory guidelines, rebalances, and cash flow events, and execution of the necessary equity and FX-related orders
  • Review and manage investment dispersion relative to models for multiple global strategies and portfolios, including various vehicle types (mutual funds, separately managed accounts, private funds, etc.)
  • Support ETF-related activities, including primary market interactions (creations and redemptions) and executions of trades and FX tied to ETF flows
  • Maintain trading blotter, including but not limited to: building trades, running trades through compliance (addressing alerts and warnings), routing trades and execution instructions to brokers, confirming trades with brokers, allocating and booking out trades
  • Support transaction cost analysis (TCA) as well as develop trade strategies through pre/intra/post trade data analysis to optimize trade execution to minimize market impact, transaction costs and risk.
  • Build relationships with internal and external stakeholders, acting as a partner to Trading, Portfolio Managers and Analysts
  • Deliver on ad hoc requests related to Program Trading and FX, while monitoring market conditions and liquidity in real time, and staying up to date on relevant market structure and news for various markets
  • Partner with Technology to continuously identify areas to improve and automate workflows as well as evaluate new tools and processes
Qualifications
The successful candidate will possess strong analytical skills and attention to detail. Additionally, the ideal candidate will possess:
  • Undergraduate degree in finance, economics or business
  • Comprehensive understanding of financial services, investment products, securities operations and trade lifecycle
  • 3-5 years of trading experience with a strong background in equity markets, including trading baskets and algorithmic trading
  • ETF knowledge preferred, including familiarity with primary market structure (creations and redemptions), secondary market dynamics (liquidity, spreads, premiums/discounts), and portfolio implementation related to ETF flows
  • Familiarity with FX markets and currency hedging a plus
  • Strong analytical, quantitative skill set with proven experience using advanced technology to create efficiency
  • Dedication to quality and a strong work ethic
  • Proven ability to cultivate relationships with internal and external stakeholders
  • Excellent oral and written presentation and interpersonal communication skills
  • Experience with Bloomberg, Charles River, and Flex Trade a plus
  • Advanced proficiency in Microsoft Office applications, specifically Excel
  • Proven ability to thrive in a fast-paced environment
  • FINRA Series 7 license a plus

Base Salary Range: $125,000 - $160,000
Specific placement within the provided range will be determined by an individual's geographic location as well as relevant experience and skills for the role. Base salary is only one component of our total compensation package. Associates may be eligible for a discretionary bonus, which is determined upon Firm and individual performance.
Privacy Notice for California Applicants
Artisan Partners Limited Partnership is an equal opportunity employer. Artisan Partners does not discriminate on the basis of race, religion, color, national origin, gender, age, disability, marital status, sexual orientation or any other characteristic protected under applicable law. All employment decisions are made on the basis of qualifications, merit and business need.
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