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Algorithmic Trading Jobs in California (NOW HIRING)

We do this by enabling the co-design of computer vision algorithms and systems through a deep understanding of the complexities and trade-offs between algorithm performance, imaging pipeline, system ...

Data Scientist II

Irvine, CA · On-site

$130K - $170K/yr

... Trade Desk, Inc. office in Irvine, CA. Job Duties: Design, implement, and optimize scalable graph-based algorithms to enhance internal graph products. Optimize large-scale algorithmic systems ...

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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 Jul 14, 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.

How to become an algorithmic trader?

To become an algorithmic trader, you should develop strong programming skills in languages like Python or C++, gain knowledge of financial markets and trading strategies, and learn to use trading platforms and data analysis tools. A background in mathematics, statistics, or computer science is often essential, and many traders pursue certifications such as the Chartered Market Technician (CMT) or Financial Risk Manager (FRM). Experience with backtesting and risk management is also important for success in this field.

Is algo trading a good career?

Algorithmic trading is a specialized career that involves developing and implementing automated trading strategies using programming skills, data analysis, and financial knowledge. It can be lucrative and in demand in financial firms, but it requires strong technical expertise, continuous learning, and understanding of market regulations. Success in this field depends on technical proficiency, risk management, and staying updated with market trends.

Who is the richest Algo trader in the world?

Algorithmic trading is a specialized finance role involving the use of algorithms and programming skills to execute trades. While individual net worth is often private, some of the most successful algorithmic traders and quant hedge fund managers, such as Jim Simons, have accumulated significant wealth through quantitative strategies and advanced data analysis. These professionals typically work in high-frequency trading firms or hedge funds and require strong mathematical, programming, and financial skills.

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.

Can I make money with algorithmic trading?

Algorithmic trading professionals develop and implement automated trading strategies that can generate profits if the algorithms are well-designed and market conditions are favorable. Success depends on skills in programming, data analysis, and risk management, and consistent profitability is not guaranteed. Many traders experience both gains and losses, and ongoing testing and optimization are essential for potential profitability.

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 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 July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $84,627 per year, or $40.7 per hour.
DSP Algorithms Engineer (Associate or Mid-Level)

DSP Algorithms Engineer (Associate or Mid-Level)

Boeing

El Segundo, CA

$119K - $162K/yr

Full-time

Medical, Life, Retirement

Re-posted 3 days ago


Boeing rating

8.5

Company rating: 8.5 out of 10

Based on 602 frontline employees who took The Breakroom Quiz

34th of 527 rated manufacturers


Job description

DSP Algorithms Engineer (Associate or Mid-Level)

Company:

The Boeing Company

Boeing Defense, Space and Security is seeking DSP Algorithms Engineers (Associate or Mid-Level) to join the Space, Intelligence and Weapons Systems teams in El Segundo, CA! Boeing's Space, Intelligence and Weapons Systems oversees the company's major commercial and government satellite and ground programs for communications, national defense, and other missions.

As a DSP Algorithms Engineer, you will design and develop state-of-the-art, space-based communication systems for commercial, civil and/or national security programs. You will be part of a highly-motivated team that works with domestic or international customers on their latest satellite systems.

Project assignments typically span the unit life cycle, from internal trades, concept studies and system definition, to satellite unit development and test. Candidates will belong to a systems engineering team interacting with customers, suppliers, program management, integration and test engineers, and senior technologists.

This position is expected to be 100% onsite. The selected candidate will be required to work onsite at the El Segundo, CA, location.

This worksite participates in Boeing's optional 9/80 schedule rotation. 9/80 is a rotation in which employees can work 9 hour shifts, 8 days per pay period (bi-weekly) and receive every other Friday off.

Position Responsibilities:

  • Designing and developing next generation RF and digital satellite communication systems
  • Developing and verifying multi-rate, fixed-point signal processing algorithms
  • Conducting performance analysis of signal processing models
  • Performing waveform development and characterization
  • Performing trade studies
  • Supporting integration and test of our payloads and spacecraft from unit level through in-orbit operations
  • Supporting HDL-level design and verification
  • Performing detailed system design and verification activities

BasicQualifications (Required Skills/Experience):

  • This position requires the ability to obtain a US Security Clearance for which the US Government requires US Citizenship as a condition of employment. A final U.S. Secret Clearance Post-Start is required.
  • Bachelor of Science degree in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science.
  • Education and/or experience in signal processing.

Preferred Qualifications (Desired Skills/Experience):

  • Experience working with ASICs or FPGAs
  • Experience with performance characteristics of analog electronics or data converters (ADCs / DACs)
  • Experience with digital/RF lab equipment (oscilloscope, signal generator, spectrum analyzer)
  • 1+ years of experience with Matlab and/or Simulink
  • 3+ years of experience in digital signal processing or digital communications
  • 1+ years of experience in systems engineering concepts (requirements definition, allocation, verification, architecture design and trade design)
  • Associate Level: 2 or more years' related work experience or an equivalent combination of technical education and experience
  • Mid-level: 5 or more years' related work experience or an equivalent combination of technical education and experience

Conflict of Interest:
Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process.

Drug Free Workplace:

Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria are met as outlined in our policies.

Relocation:

This position offers relocation based on candidate eligibility. Note: Basic relocation will be offered for eligible internal candidates.

Pay & Benefits:

At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities.

The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work.

The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.

Pay is based upon candidate experience and qualifications, as well as market and business considerations.

Summary Pay Range for Associate Level $98,600 - $133,400

Summary Pay Range for Mid-level: $119,850 - $162,150

Language Requirements:

Not Applicable

Education:

Bachelor's Degree or Equivalent

Relocation:

This position offers relocation based on candidate eligibility.

Export Control Requirement:

This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee.

Safety Sensitive:

This is not a Safety Sensitive Position.

Security Clearance:

This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required.

Visa Sponsorship:

Employer will not sponsor applicants for employment visa status.

Contingent Upon Award Program

This position is not contingent upon program award

Shift:

Shift 1 (United States of America)

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Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.

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