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Quantitative Engineer Jobs in California (NOW HIRING)

The TCW Group

Lead Quantitative Engineer

Los Angeles, CA · On-site

$110K - $145K/yr

The Lead Quant Engineer is a senior individual contributor responsible for the architecture, technical leadership, and hands-on engineering behind the evolution of the firm's macro and security ...

Poesis

Quantitative Developer

San Francisco, CA · On-site

$180K - $280K/yr

About the Role We're hiring a Quantitative Developer to help turn research ideas into production-grade code. You'll help build data pipelines, implement models and ensure results are clean ...

Franklin Templeton

Quantitative Developer

Pasadena, CA · On-site

$140K - $170K/yr

Role Summary Franklin Templeton is seeking a Quantitative Developer with experience in portfolio risk to build, enhance, and support systems to support customized investment solutions for clients.

Franklintempleton

Quantitative Developer

Pasadena, CA · Hybrid

$140K - $170K/yr

Role Summary Franklin Templeton is seeking a Quantitative Developer with experience in portfolio risk to build, enhance, and support systems to support customized investment solutions for clients.

Jobsbridge

Sr Quant QA Engineer

Pasadena, CA · On-site

Work closely with quantitative developer, financial engineer, and system QA Engineer in transforming quantitative business requirements and use cases into test cases for model validation, functional ...

PIMCO

Quantitative Research Analyst

Newport Beach, CA · On-site

Strong programming skills and numerical problem-solving techniques; proficiency with Python with a preference for experience with high frequency data * Excellent analytical and quantitative skills ...

PIMCO

Quantitative Research Analyst

Newport Beach, CA · On-site

Strong programming skills and numerical problem-solving techniques; proficiency with Python with a preference for experience with high frequency data * Excellent analytical and quantitative skills ...

East West Bank

Senior Quantitative Analyst

Pasadena, CA · On-site

$100K/yr

Overview We are seeking a Senior Quantitative Analyst within the Model and Allowance Analysis team ... Proficiency with R or similar programming language. Proficiency with Microsoft Office tools.

Forge Global

Quantitative Researcher

San Francisco, CA · Hybrid

$170K - $220K/yr

We are looking to hire a Quantitative Researcher to join our Research & Data Analytics team. In ... Utilize strong programming and data science skills to conduct unique research in support of our ...

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All JobsQuantitative Engineer JobsQuantitative Engineer Jobs in California

Quantitative Engineer information

See California salary details

$37.5K

$89.4K

$148.5K

How much do quantitative engineer jobs pay per year?

As of Jul 14, 2026, the average yearly pay for quantitative engineer in California is $89,353.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,600.00 and $98,700.00 per year, depending on experience, location, and employer.

What are Quantitative Engineers?

Quantitative Engineers, often called 'quants', are professionals who apply advanced mathematical, statistical, and programming skills to solve complex problems in finance, technology, or research. They develop models and algorithms to analyze data, assess risk, and inform decision-making, particularly in areas like trading, asset management, and financial engineering. Their work often involves programming in languages such as Python, C++, or R, and requires a strong background in mathematics and computer science. Quantitative Engineers play a crucial role in optimizing processes and strategies using quantitative methods.

How do Quantitative Engineers typically collaborate with traders and software developers in a financial firm?

Quantitative Engineers often work closely with traders to understand their strategies and translate them into mathematical models or algorithms. They also partner with software developers to ensure these models are efficiently implemented in trading platforms, balancing performance and accuracy. Regular communication and joint problem-solving are essential, as the role requires aligning complex quantitative methods with practical trading objectives and robust technical solutions.

What are the key skills and qualifications needed to thrive as a Quantitative Engineer, and why are they important?

To thrive as a Quantitative Engineer, you need a strong background in mathematics, statistics, and computer science, typically with a degree in a quantitative field such as math, physics, or engineering. Familiarity with programming languages like Python, C++, and tools such as MATLAB, as well as experience with data analysis frameworks, is essential. Exceptional problem-solving skills, attention to detail, and the ability to communicate complex concepts clearly set top performers apart. These skills are crucial for developing robust quantitative models and algorithms that drive informed financial or technical decision-making.

What is the difference between Quantitative Engineer vs Quantitative Analyst?

AspectQuantitative EngineerQuantitative Analyst
CredentialsDegree in Math, Finance, or Engineering; often requires programming skillsDegree in Finance, Economics, or Math; strong analytical skills
Work EnvironmentDevelops models, writes code, collaborates with tech teamsAnalyzes data, creates reports, supports trading strategies
Industry UsageFinancial firms, hedge funds, investment banksAsset management, investment firms, banks

While both roles involve quantitative skills, Quantitative Engineers focus on developing and implementing models and algorithms, often requiring programming expertise. Quantitative Analysts primarily analyze data and support trading decisions. The roles are complementary but differ in technical depth and focus.

What are popular job titles related to Quantitative Engineer jobs in California? For Quantitative Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Quantitative Engineer jobs in California look for? The top searched job categories for Quantitative Engineer jobs in California are:
What cities in California are hiring for Quantitative Engineer jobs? Cities in California with the most Quantitative Engineer job openings:
Quantitative Engineer jobs near you
Infographic showing various Quantitative Engineer job openings in California as of July 2026, with employment types broken down into 92% Full Time, 4% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $89,353 per year, or $43 per hour.
Lead Quantitative Engineer

Lead Quantitative Engineer

The TCW Group

Los Angeles, CA • On-site

$110K - $145K/yr

Full-time

Re-posted 9 days ago

Job description

Position Summary
Risk & Research Technology is responsible for building and operating the firm's analytics technology capabilities that enable investment research, portfolio construction, and risk management across TCW's investment strategies.
The Lead Quant Engineer is a senior individual contributor responsible for the architecture, technical leadership, and hands-on engineering behind the evolution of the firm's macro and security analytics technology capabilities. This role focuses on building scalable, reusable, and durable technology platforms that enable analytics use cases across multiple investment teams and products.
This role does not include people management responsibilities. Success is measured by platform sustainability, architectural quality, and the ability to enable multiple teams through shared technology capabilities rather than direct ownership of business outcomes.
Business ownership of investment analytics products, research outputs, and investment decisions resides with designated product, research, and investment stakeholders. The Lead Quant Engineer provides technical stewardship and architectural leadership of the underlying technology that enables those business capabilities.
The analytics technology capabilities supported by this role enable Security-level analytics, Macroeconomic and cross-asset signals, Large-scale research and risk workflows
These capabilities span equities, fixed income, and structured products and operate over large volumes of financial and market data.
The role plays a central part in modernizing legacy analytics environments into modular, distributed architecture while ensuring alignment with enterprise platforms, shared infrastructure, and engineering standards.
Essential Duties
  • Provide senior-level architectural leadership and hands-on engineering in support of the evolution of the firm's macro and security analytics technology capabilities.
  • Define, modernize, and maintain scalable, reusable analytics architectures, services, and data pipelines aligned with enterprise engineering standards.
  • Establish shared design patterns, frameworks, and reference implementations that enable consistent, high-quality contributions across teams.
  • Act as a senior hands-on contributor to complex or high-impact technical areas within the analytics technology ecosystem.
  • Partner with quantitative researchers, analysts, and investment teams to translate analytics requirements into durable, extensible technology solutions rather than one-off implementations.
  • Collaborate with Core Systems, Platform Engineering, and Data Engineering teams to ensure alignment with shared infrastructure, security, and operational practices.
  • Influence technical direction through architectural leadership, design review, and technical guidance without reliance on formal authority.
  • Champion engineering best practices emphasizing reliability, scalability, observability, performance, and long-term platform sustainability.
  • Participate in architectural governance and technical decision-making forums in alignment with enterprise standards.
  • Evaluate and integrate third-party analytics tools, financial data providers, and external platforms in a scalable and maintainable manner.
  • Provide limited, situation-specific technical guidance and escalation support during significant production issues, including participation in incident reviews and post-incident remediation, while not serving as a primary on-call owner; routine operational monitoring and first-line incident response are handled by established support and platform teams.

Required Qualifications
  • Bachelor's degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience)
  • 12 or more years of experience building and supporting production-grade software systems
  • Deep experience with distributed systems, backend engineering, and data-intensive platforms
  • Strong system design, debugging, and performance optimization skills
  • Proven ability to design reusable frameworks and shared technology capabilities
  • Experience with modern software development practices including automated testing and CI/CD
  • Experience working in cloud-based environments (Azure preferred; equivalent experience considered)

Professional Skills Qualifications
  • Strong sense of technical ownership balanced with enterprise alignment
  • Ability to operate effectively in complex, multi-stakeholder environments
  • Demonstrated technical leadership without reliance on formal authority
  • Clear communication with both technical and non-technical audiences
  • Sound engineering judgment with an emphasis on long-term sustainability

Desired Qualifications
  • Experience with financial systems, market data platforms, or investment analytics
  • Exposure to fixed income, structured products, macro, or cross-asset analytics
  • Experience supporting quantitative research or analytics workflows
  • Prior integration with large-scale financial or risk platforms (e.g., Aladdin or equivalent)
  • Familiarity with representative technologies such as Python, modern data platforms, workflow orchestration tools, and cloud-native services

Estimated Compensation:
Base Salary: For CA & NY based position, the base salary range is $195k to $225k. This is an anticipated range only.
Other Compensation: Eligible to be considered for an annual discretionary bonus
Benefits: Eligible for TCW's comprehensive benefits package.
This role requires candidates to work from a TCW office a minimum of four days a week. Flexibility for remote work is offered on one day, depending on business needs.
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