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Python Quantitative Algorithmic Trading Jobs in California

Databento

Software Engineer (C++/C#)

San Francisco, CA · On-site +1

... other top quantitative firms. We're looking for a midlevel or senior IC to join our core ... An interest in financial data or algorithmic trading. Notice about phishing scams Be cautious of ...

PIMCO

Quantitative Research Analyst

Newport Beach, CA · On-site

The role provides opportunities to work with PIMCO's world class PM and trading functions to ... Strong programming skills and numerical problem-solving techniques; proficiency with Python with a ...

PIMCO

Quantitative Research Analyst

Newport Beach, CA · On-site

The role provides opportunities to work with PIMCO's world class PM and trading functions to ... Strong programming skills and numerical problem-solving techniques; proficiency with Python with a ...

Amat

AI Algorithm Developer

Santa Clara, CA · On-site

$161K - $221K/yr

Document design decisions, trade-offs, and algorithmic approaches clearly * * Build surrogate ... Expert-level Python * Deep Learning: Neural network architectures, training dynamics, optimization ...

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All JobsPython Quantitative Algorithmic Trading JobsPython Quantitative Algorithmic Trading Jobs in California

Python Quantitative Algorithmic Trading information

See California salary details

$96.7K

$167.5K

$256.1K

How much do python quantitative algorithmic trading jobs pay per year?

As of Aug 11, 2026, the average yearly pay for python quantitative algorithmic trading in California is $167,506.00, according to ZipRecruiter salary data. Most workers in this role earn between $132,700.00 and $196,400.00 per year, depending on experience, location, and employer.

What is the difference between Python Quantitative Algorithmic Trading vs Python Quantitative Trading Analyst?

AspectPython Quantitative Algorithmic TradingPython Quantitative Trading Analyst
CredentialsDegree in Computer Science, Finance, or related fields; coding certificationsDegree in Finance, Economics, or related fields; strong analytical skills
Work EnvironmentDeveloping algorithms, coding, backtesting strategiesAnalyzing market data, supporting trading strategies, reporting
Industry UsageFinancial firms, hedge funds, proprietary trading firmsAsset management firms, trading desks, financial institutions

Python Quantitative Algorithmic Traders focus on designing and implementing automated trading algorithms using programming skills, while Python Quantitative Trading Analysts analyze data and support trading strategies without necessarily coding the algorithms themselves. Both roles require strong quantitative skills and familiarity with Python, but their daily tasks and responsibilities differ significantly.

What are the key skills and qualifications needed to thrive as a Python quantitative algorithmic trader?

To thrive as a Python Quantitative Algorithmic Trader, you need strong quantitative analysis, programming expertise (especially in Python), and a solid background in mathematics, statistics, or finance, often supported by a relevant degree. Familiarity with financial data platforms, algorithmic trading systems, and libraries such as pandas, NumPy, and scikit-learn, as well as experience with backtesting frameworks, is essential. Critical thinking, attention to detail, and effective communication help you interpret data, manage risk, and collaborate with team members. These skills ensure effective strategy development, implementation, and adaptation in fast-moving financial markets.

What are some common challenges faced by Python quantitative algorithmic traders, and how can job seekers prepare to overcome them?

Python quantitative algorithmic traders often face challenges such as rapidly changing market conditions, ensuring code efficiency for low-latency execution, and maintaining data integrity across large datasets. Additionally, traders must continuously backtest strategies to avoid overfitting and adapt to evolving regulatory requirements. To prepare, job seekers should strengthen their coding skills with a focus on performance optimization, familiarize themselves with financial data handling, and stay current with industry best practices in both technology and trading strategy development.

What is Python quantitative algorithmic trading?

Python Quantitative Algorithmic Trading refers to the use of Python programming to develop, test, and implement mathematical models and automated strategies for trading financial instruments. Professionals in this field use quantitative analysis, statistical techniques, and historical data to create algorithms that can execute trades on financial markets without human intervention. Python is widely favored due to its robust libraries, ease of use, and strong community support, making it ideal for handling large datasets and rapid prototyping of trading strategies.
What are popular job titles related to Python Quantitative Algorithmic Trading jobs in California? For Python Quantitative Algorithmic Trading jobs in California, the most frequently searched job titles are:
What job categories do people searching Python Quantitative Algorithmic Trading jobs in California look for? The top searched job categories for Python Quantitative Algorithmic Trading jobs in California are:
What cities in California are hiring for Python Quantitative Algorithmic Trading jobs? Cities in California with the most Python Quantitative Algorithmic Trading job openings:
Python Quantitative Algorithmic Trading jobs near you
Infographic showing various Python Quantitative Algorithmic Trading job openings in California as of August 2026, with employment types broken down into 2% Internship, 85% Full Time, 5% Part Time, 2% Temporary, and 6% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $167,506 per year, or $80.5 per hour.

Software Engineer (C++/Java)

Databento

San Francisco, CA • On-site, Remote

Full-time

Posted 21 days ago

Job description

The financial industry is growing at a record pace, but our data providers are still stuck in the past — with cumbersome onboarding processes, complicated APIs, slow infrastructure, and expensive licensing costs.

Databento is the market data platform for modern finance. The company provides real-time and historical data across futures, options, and equities through a unified API. By owning the entire market data stack end-to-end, Databento is the first platform of its kind to combine the performance and reliability demanded by the world's leading trading firms with a dramatically simpler developer experience. Our team includes alumni of Two Sigma, Citadel Securities, Flow Traders, Tower Research, PDT Partners, SIG, and other top quantitative firms.

We're looking for a midlevel or senior IC to join our core engineering team. You'll be responsible for implementing and maintaining our Java client library, and also working alongside our core engineering team on the most performance-sensitive parts of our codebase.

Responsibilities
  • Own and maintain our Java client library, ensuring it is robust, well-tested, and easy for external users to integrate with.
  • Design, develop, and maintain high-performance server applications in C/C++.
  • Write message parsers and feed handlers for direct market data feeds from trading venues.
  • Optimize existing codebase for high throughput (millions of messages per second, up to 40+ gigabits) and low latency (measured in nanoseconds).
  • Implement tools and libraries for petabyte-scale data processing and analysis.
  • Collaborate with the systems team to implement best practices for build, deployment, CI/CD.
  • Implement monitoring and improve application uptime.
  • Ensure smooth feature rollouts and updates.
Preferred background
  • 5+ years of full-time software engineering experience, preferably at a trading firm, tech company, or high-growth startup.
  • Strong proficiency in both C/C++ and Java.
  • Experience with C# is a plus.
  • Experience designing APIs with a strong focus on intuitive, developer-friendly interfaces.
  • Familiarity with open source best practices, including release management, versioning, changelogs, issue triage, and backwards compatibility.
  • Knowledge of systems programming, algorithms, data structures, multithreading, networked I/O, serialization, CPU architecture, kernel, and compilers.
  • Experience working with multiprocess environments.
  • Comfortable with lldb/gdb.
  • Good communication skills and work ethic for a remote workplace.
  • An interest in low-level optimization and performance engineering.
  • 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 emails come only from @databento.com or us.greenhouse-mail.io (our ATS). Any other domains (e.g., databento-careers.com, databento.online) are fraudulent.

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Databento, Inc. provides equal employment opportunities to all employees and applicants without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, or genetics. In addition to federal law requirements, we comply with applicable state and local laws governing nondiscrimination in every location where we operate. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Pursuant to applicable laws, we consider qualified applicants with arrest or conviction records. If you need an accommodation, please let us know.

Our recruiting data suggests that underrepresented applicants often downplay their skills. Even if your experience doesn't exactly match the qualifications listed, we still want to hear from you. Please apply!