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Quant Engineer Jobs in California (NOW HIRING)

Jobsbridge

Sr Quant QA Engineer

Pasadena, CA

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 ...

Poesis

Machine Learning Engineer

San Francisco, CA · On-site

Required Competencies * 5-10+ years of experience as an ML Engineer, Quant Engineer, or similar role. * Proven track record deploying production ML systems (ideally in finance or other high‑stakes ...

Jobsbridge

SAS Quant Developer

Pasadena, CA

Company Description Intelliswift Software, Inc Minimum 3-5 years software development related to quantitative, statistical and/or financial models. Minimum 3 years of experience programming in SAS ...

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 ...

Jobtailor

Quantitative Developer

San Francisco, CA · On-site

$180 - $280/hr

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 ...

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.

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.

Triumph Arcade, Inc

Quant Strategist

San Francisco, CA · On-site

$200K - $400K/yr

The Role As a Quant Strategist, you'll sit at the intersection of mathematics, computer science ... Partner closely with engineering, product, and leadership to translate model outputs into real-time ...

Triumph

Quant Strategist

San Francisco, CA · On-site

$200K - $400K/yr

The Role As a Quant Strategist, you'll sit at the intersection of mathematics, computer science ... Partner closely with engineering, product, and leadership to translate model outputs into real-time ...

BlackRock

Quant Research, Associate

San Francisco, CA · On-site

The main skills for this role are outstanding execution of algorithmic development and software engineering. The Systems Researcher will be part of our investment and quantitative research teams. We ...

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Quant Engineer information

What is the salary of a quant engineer?

The salary of a quant engineer typically ranges from $100,000 to $200,000 annually, with higher compensation for those with advanced degrees, extensive experience, or specialized skills in programming languages like Python or C++. In addition to base salary, many quant engineers receive bonuses and performance incentives, especially in financial firms or hedge funds.

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

To thrive as a Quant Engineer, you need strong quantitative and programming skills, typically supported by a degree in mathematics, physics, computer science, or a related field. Proficiency in programming languages such as Python, C++, or Java, as well as familiarity with statistical analysis tools and financial modeling systems, is essential. Analytical thinking, problem-solving abilities, and effective communication distinguish top performers in this role. These skills enable Quant Engineers to develop robust models and algorithms that drive accurate trading strategies and risk management in fast-paced financial environments.

What is a quant engineer?

Quant Engineers, or quantitative engineers, are professionals who apply mathematical models, statistical techniques, and computer programming to solve complex problems in finance and related industries. They often work on designing trading algorithms, risk management tools, and pricing models for financial instruments. Quant Engineers typically have strong backgrounds in mathematics, computer science, and finance, and are skilled in programming languages such as Python, C++, or R. Their work helps financial firms make data-driven decisions and optimize strategies in highly competitive markets.

What is the difference between Quant Engineer vs Quant Analyst?

AspectQuant EngineerQuant Analyst
Required CredentialsDegree in Math, Finance, or Computer Science; often requires programming skillsDegree in Finance, Economics, or Math; less emphasis on programming
Work EnvironmentDevelops models, algorithms, and software tools for trading and risk managementAnalyzes data, interprets models, and provides insights for trading strategies
Employer & Industry UsageFinancial firms, hedge funds, investment banksFinancial firms, asset management, hedge funds

While both roles involve quantitative analysis, Quant Engineers focus on building and implementing models and software, whereas Quant Analysts primarily analyze data and interpret models to inform trading decisions. The roles often overlap but differ in technical depth and responsibilities.

How do quant engineers typically collaborate with traders and other team members to develop and implement trading strategies?

Quant Engineers work closely with traders, researchers, and software developers to design, test, and refine quantitative trading models. They often translate mathematical models into efficient code, analyze large datasets, and ensure strategies are both robust and scalable for real-time trading environments. Frequent communication is key, as Quant Engineers must gather requirements from traders, iteratively backtest ideas, and adapt models based on feedback and market changes. This collaborative process helps ensure strategies are both scientifically sound and practically viable for deployment.

What are popular job titles related to Quant Engineer jobs in California?

For Quant Engineer jobs in California, the most frequently searched job titles are:

What job categories do people searching Quant Engineer jobs in California look for?

The top searched job categories for Quant Engineer jobs in California are:

What cities in California are hiring for Quant Engineer jobs?

Cities in California with the most Quant Engineer job openings:

Quant Engineer jobs near you
Infographic showing various Quant Engineer job openings in California as of August 2026, with employment types broken down into 88% Full Time, 5% Part Time, 2% Temporary, and 5% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution.

Sr Quant QA Engineer

Jobsbridge

Pasadena, CA

Contractor

Re-posted 8 days ago

Job description

Company Description

Intelliswift Software, Inc

Job Description

Responsibilities will include: 

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, regression and integration testing. 

Create, execute, track and report on model validation, functional and integration test cases of highly quantitative risk management applications. 

Validate business rules in calculations and quantitative workflow; find, report and retest defects; execute end-to-end testing, integration and functional testing as assigned; track test case execution using Quality Center. 

Develop test strategies and test plans, ensure product quality, provide consulting on quality techniques, and ensure adherence to proper software development procedures. 

Estimate QA efforts, and develop testing strategy. Manage QA deliveries for assigned projects. 

Provide hands on testing support during QA phase and production validation 

Provide regular status reports to QA lead, QA manager and project manager. 

Be responsible for collecting raw data and QA metrics. 

Participate in project meetings to understand requirements and milestones. 


Requirements: 

Minimum 3 years software development related to quantitative, statistical and/or financial models. 

Minimum 2 years of experience programming in SAS; familiar with Base SAS, Macros, PROC SQL, and SAS Enterprise Guide. 

Minimum 3 years of model validation experience with highly quantitative applications. 

Evidence of ability to design and develop SAS programs. Experience developing and using automated unit testing and data validation. 

Must be proficient in Unix environments and ability to write complex SQL queries for validating and comparing large volumes of data between tables and schemas in Oracle/Sybase. 

Must have strong understanding of SDLC and QA's role during each phase 

Must have thorough understanding of different testing types including functional, regression, integration, UI, Backend, UAT, smoke, performance testing 

Must have ability to design and develop comprehensive test strategy, test plan and test cases 

Must have strong background in reviewing business and functional requirements in order to produce high level test strategy and test cases 

Must have good working knowledge of QC and other defect tracking systems ex) Jira 

Must have strong analytical and problem solving skills 

Must be able to work independently and be a good team player 

Must have ability to work in a highly demanding, fast paced environment managing multi projects simultaneously 

Must be knowledgeable with Windows OS platforms/Office applications ex) MS word, excel, project, etc. 

Must be knowledgeable of multi-tier architecture and networking 

B.S. or equivalent education in financial engineering is required.

Qualifications

Quantitative, statistical and/or financial models, SAS

Additional Information

Multiple Openings 

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About Jobsbridge Institute

Sourced by ZipRecruiter

Josbridge Institute is your one-stop destination for your Data, Cloud and Analytics learning needs, powered by Microsoft AI & Cloud platform. We offer a wide range of courses and programs, from foundational to advanced focusing on Data Analysis, Cloud Engg, AI-ML required for Microsoft certification. Our courses are designed to equip you with the practical skills and knowledge required for success in the field of cloud computing, AI and Data Analytics. With our experienced faculty, applied learning and comprehensive curriculum, we are committed to helping you achieve your career goals. Students seeking Internship (CPT & OPT) may apply.

Industry

Business schools and computer and management training

Company size

11 - 50 Employees

Headquarters location

Campbell, CA, US

Year founded

2022

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