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Algorithmic Trader Jobs in California (NOW HIRING)

Senior Software Engineer

Irvine, CA · On-site +1

$184K - $249K/yr

The Trade Desk is a global technology company and the world's leading independent platform for ... Develop and apply advanced graph algorithms to solve complex real-world challenges. Collaborate ...

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Algorithmic Trader information

See California salary details

$39K

$95.5K

$266K

How much do algorithmic trader jobs pay per year?

As of Jun 10, 2026, the average yearly pay for algorithmic trader in California is $95,507.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,800.00 and $104,100.00 per year, depending on experience, location, and employer.

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 mathematics, statistics, programming (often Python, C++, or R), and a solid understanding of financial markets, usually supported by a relevant degree. Familiarity with trading platforms, backtesting frameworks, and data analysis tools, plus certifications like CFA or FRM, are commonly required. Strong analytical thinking, attention to detail, and the ability to work under pressure are vital soft skills for success in this fast-paced environment. These skills enable traders to develop effective, automated strategies that capitalize on market opportunities while managing risk efficiently.

What are some typical challenges faced by algorithmic traders in their day-to-day work?

Algorithmic traders often encounter challenges such as maintaining and updating trading algorithms to adapt to rapidly changing market conditions, ensuring low-latency execution, and managing the risks associated with automated trading. Collaborating closely with quantitative analysts, software engineers, and risk managers is essential to refine strategies and troubleshoot technical issues. Staying compliant with regulatory requirements and monitoring for unexpected market behaviors or system errors are also important aspects of the role.

What is an algorithmic trader?

An algorithmic trader is a financial professional who uses computer algorithms to automate trading strategies in financial markets. These traders develop, test, and implement mathematical models that analyze market data and execute trades at speeds and frequencies impossible for humans. Algorithmic traders work in environments such as investment banks, hedge funds, and proprietary trading firms, and their goal is often to maximize returns while managing risk. They typically need strong skills in programming, quantitative analysis, and finance.

What is the difference between Algorithmic Trader vs Quantitative Analyst?

AspectAlgorithmic TraderQuantitative 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-pacedFinancial institutions, research firms; analytical and research-focused
Employer & Industry UsageUsed primarily in trading and investment firmsUsed in asset management, hedge funds, and investment banks

While both roles require strong quantitative skills and programming knowledge, Algorithmic Traders focus on developing and executing trading algorithms in real-time markets, whereas Quantitative Analysts primarily develop models and strategies for investment decision-making. The roles often overlap but differ mainly in their focus on trading execution versus model development.

What are the most commonly searched types of Algorithmic Trader jobs in California? The most popular types of Algorithmic Trader jobs in California are:
What are popular job titles related to Algorithmic Trader jobs in California? For Algorithmic Trader jobs in California, the most frequently searched job titles are:
What job categories do people searching Algorithmic Trader jobs in California look for? The top searched job categories for Algorithmic Trader jobs in California are:
What cities in California are hiring for Algorithmic Trader jobs? Cities in California with the most Algorithmic Trader job openings:

Software Engineer, New Grad

Andalusia Labs

San Francisco, CA

Other

Posted 3 days ago


Job description

New Grad Software Engineer

Andalusia Labs is building foundational economic infrastructure for programmable global markets, connecting capital, computation, and coordination across the internet. Our work sits at the intersection of distributed systems, finance, and machine intelligence, with the goal of growing the world's programmable GDP.

Our team has shipped massively scalable systems and products at Coinbase, Google, AWS, Microsoft, X, TikTok, Goldman Sachs, and High-Frequency Trading firms. We are backed by Coinbase, Mubadala, Lightspeed, Bain Capital, Pantera, Framework, Digital Currency Group, Proof Group, Nima Capital, Naval Ravikant, Arthur Hayes, and founders, GPs, and executives from organizations like Founders Fund, Google, and Coinbase.

Role

We are hiring a New Grad Software Engineer to help build systems that power programmable markets. You will contribute to core services, ship high-performance code, and learn across the stack. You will work alongside founders, senior engineers, and product partners to turn new primitives into production systems that handle high usage.

Responsibilities
  • Contribute to core services across networking, consensus and execution, tokenization, exchange, settlement, and data pipelines
  • Design, implement, and operate high-quality services in C++, Rust, Go, or Solidity with guidance from senior engineers
  • Profile and improve performance for throughput, tail latency, memory, storage, and network efficiency
  • Build correctness and safety with unit tests, property-based testing, fuzzing, static analysis, and thorough reviews
  • Support production reliability with clear SLOs, alerting, dashboards, and participation in incident response after onboarding
  • Create and maintain internal libraries, developer tooling, and CI to speed delivery and raise code quality
  • Write clear design docs that explain tradeoffs and support sound technical decisions
  • Collaborate with peers in design and code reviews and contribute to a high engineering bar
  • Partner with product, research, security, and go-to-market to scope milestones and ship new capabilities
  • Learn, model, and help implement financial primitives and risk logic with rigorous testing and telemetry
Requirements
  • BA/BS in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field, or equivalent practical experience
  • 0 to 2 years of experience through internships, research, or significant projects working with at least one of these languages (C++, Rust, Go, Solidity)
  • Strong understanding of distributed systems, data structures, algorithms, and software design
  • Experience building performant applications in internships, research, or significant projects
  • Exposure to compilers, runtimes, optimization, or static analysis through internships, research, or significant projects is a plus
  • Familiarity with Git, continuous integration, and automated testing for C++, Rust, Go, and or Solidity stacks
  • High ownership, ability to learn quickly with minimal guidance
  • Ability to work in a fast-paced environment and across the product engineering stack
  • Clear written and verbal communication
Bonus
  • MA/MS, PhD, or advanced degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field, or equivalent practical experience
  • Familiarity with cryptography, key management, TEEs, or zero-knowledge systems
  • Experience or coursework in fintech, algorithmic trading, or financial primitives
  • Experience with React, Node, and/or TypeScript
  • Interested in startups.