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Algorithmic Trader Jobs in California (NOW HIRING)

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 ...

Job #219547 Chipton-Ross is seeking 2 DSP Algorithms Engineers (Level 4) for a contract opportunity ... Performing trade studies * Supporting integration and test of our payloads and spacecraft from unit ...

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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 Sep 3, 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 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 are the key skills and qualifications needed to thrive as an algorithmic trader?

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 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.

How do you become an algorithmic trader?

To become an algorithmic trader, you typically need a strong background in mathematics, programming, and finance, often holding a degree in a related field such as computer science, engineering, or finance. Developing skills in programming languages like Python or C++, understanding trading strategies, and gaining experience with trading platforms and data analysis are essential steps. Many algorithmic traders also pursue certifications or advanced degrees to enhance their knowledge and credibility.

What does an algorithmic trader do?

An algorithmic trader develops and implements automated trading strategies using computer algorithms to execute trades at high speed and volume. They analyze market data, optimize algorithms, and monitor trading systems, often using programming languages like Python or C++ and trading platforms. The role requires strong quantitative skills and understanding of financial markets.

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:

Infographic showing various Algorithmic Trader job openings in California as of August 2026, with employment types broken down into 90% Full Time, and 10% Contract. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $95,507 per year, or $45.9 per hour.

Systems/Software Algorithms Engineer (MATLAB)

Synovix, Inc.

Woodland Hills, CA • On-site

$115K - $203K/yr

Full-time

Posted 21 days ago


Job description

Job Title: Systems/Software Algorithms EngineerPosition Overview

Synovix is seeking two experienced Systems/Software Algorithms Engineers to support an on-site missile and weapon systems program for a defense customer. The engineers will develop, prototype, evaluate, and transition mission algorithms from analytical concepts and MATLAB models into testable software solutions. 

What You Will Do
  • Develop and evaluate missile system algorithms for functions such as tracking, targeting, signal processing, sensor fusion, estimation, decision logic, and performance optimization.
  • Translate operational needs into algorithm concepts and MATLAB prototypes; support verification and transition into production of C/C++ or embedded software.
  • Design representative test cases, truth data, Monte Carlo analyses, and performance metrics to evaluate robustness across the operating envelope.
  • Integrate algorithm models with simulations, sensors, GNC, embedded software, and laboratory test environments; investigate anomalous behavior and recommend design changes.
  • Define algorithm architecture, lead technical trades, establish verification strategy, mentor engineers, and coordinate across systems, GNC, software, modeling, hardware, and test teams.
Required Qualifications
  • At least 8 years of relevant algorithm development, systems engineering, estimation, tracking, signal processing, controls, autonomy, or applied-mathematics experience.
  • Bachelor's degree in electrical engineering, computer engineering, aerospace engineering, computer science, applied mathematics, physics, or a closely related technical discipline.
  • Advanced MATLAB experience developing algorithms, analytical models, test harnesses, or system performance assessments.
  • Strong foundation in numerical methods, probability/statistics, linear algebra, estimation, optimization, or digital signal processing as applicable to prior work.
  • Experience developing requirements, documenting algorithm behavior, and presenting technical findings to multidisciplinary teams.
  • U.S. citizenship and eligibility to obtain a U.S. government security clearance if required by the program; an active clearance is not required at hire.
Preferred Qualifications
  • Direct missile, guided weapon, seeker, fire-control, tracking, targeting, or aerospace/defense algorithm experience.
  • Experience with radar, electro-optical/infrared, RF, inertial, navigation, or multi-sensor data.
  • Experience converting MATLAB algorithms to efficient C/C++ or supporting embedded real-time implementation.
  • Working knowledge of Simulink, Python, Git, automated test, data analysis, and software configuration practices.
  • Experience with Kalman filtering, track filtering, detection and estimation theory, sensor fusion, optimization, or machine learning where applicable.
  • Experience supporting software-in-the-loop, hardware-in-the-loop, field test, ground test, flight test, or post-test data analysis.