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Quant Jobs in Berkeley, CA (NOW HIRING)

At Tanius we have a high standard. Our people come in each day ready to work hard, adapt to new challenges, and find solutions. We are looking for motivated individuals to develop and test new ...

Fraud Strategist, Quantitative

San Mateo, CA · On-site

$148K - $222K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Fraud Strategist, Quantitative San Mateo or San Diego, CA (hybrid) US Remote (considered) Role overview: As a member of the Fraud Strategy team, you will analyze transactional and historical data ...

At Tanius we have a high standard. Our people come in each day ready to work hard, adapt to new challenges, and find solutions. We are looking for motivated individuals to develop and test new ...

At Tanius we have a high standard. Our people come in each day ready to work hard, adapt to new challenges, and find solutions. We are looking for motivated individuals to develop and test new ...

At Tanius we have a high standard. Our people come in each day ready to work hard, adapt to new challenges, and find solutions. We are looking for motivated individuals to develop and test new ...

Showing results 21-40

Quant information

See Berkeley, CA salary details

$119.5K

$206.9K

$316.4K

How much do quant jobs pay per year?

As of Aug 13, 2026, the average yearly pay for quant in Berkeley, CA is $206,915.00, according to ZipRecruiter salary data. Most workers in this role earn between $164,000.00 and $242,600.00 per year, depending on experience, location, and employer.

What does a quant do?

Quant refers to a quantitative analyst whose responsibilities are to research and analyze market trends in finance. As a quant, you research and decipher statistics and design financial models to help banks, insurance companies, and other finance-focused organizations assess and prevent their risk, make sound investments, and better understand pricing structures to increase profit. Your duties also include creating codes for programs that follow financial trends and patterns, recording data and analyses, and consulting with business leaders in an organization to offer suggestions to combat potential financial risks. Large financial institutions and firms with trading processes typically hire quants.

What is a quant?

Quants, short for quantitative analysts, are professionals who use mathematical models, statistics, and computational techniques to analyze financial data and develop trading strategies. They are typically employed by investment banks, hedge funds, asset management firms, and financial technology companies. Quants play a crucial role in pricing securities, managing risk, and optimizing portfolios. Their expertise is essential for making data-driven decisions in complex financial markets.

What are some common challenges faced by quants when collaborating with software developers and traders?

Quants often encounter challenges in bridging the gap between theoretical models and practical implementation. Effective communication is essential, as translating complex quantitative concepts into actionable trading strategies requires close collaboration with both software developers and traders. Misunderstandings can occur due to differences in technical language or priorities, so fostering a collaborative environment and being open to feedback is crucial. Regular meetings and clear documentation can help ensure that models are accurately implemented and aligned with trading objectives.

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

To thrive as a Quant, you need strong quantitative and analytical skills, typically supported by advanced degrees in mathematics, statistics, physics, or related fields. Proficiency with programming languages like Python or C++, financial modeling, and familiarity with tools such as MATLAB or R are essential, along with knowledge of financial markets. Exceptional problem-solving, attention to detail, and effective communication help Quants stand out in collaborative and high-stakes environments. These skills enable Quants to develop robust models and strategies that drive critical decision-making and risk management in finance.

What is the difference between Quant vs Data Analyst?

AspectQuantData Analyst
Required CredentialsDegree in Math, Finance, or Computer Science; often requires advanced degreesBachelor's in Statistics, Economics, or related field; sometimes requires certifications
Work EnvironmentFinancial firms, hedge funds, investment banksCorporations, consulting firms, market research
Employer & Industry UsagePrimarily in finance and tradingAcross various industries including finance, marketing, healthcare
Common Search & Comparison IntentUnderstanding quantitative roles in financeExploring data analysis careers

While both Quant and Data Analyst roles involve working with data, Quants focus on developing complex models for trading and risk management in finance, often requiring advanced degrees and specialized skills. Data Analysts typically interpret data to inform business decisions across industries, with a broader scope and different tools. The roles overlap in data handling but differ significantly in application and industry focus.

Do quants get paid well?

Quantitative analysts, or quants, typically earn high salaries due to their specialized skills in mathematics, programming, and finance. Compensation often includes base pay, bonuses, and profit-sharing, reflecting the demand for their expertise in trading, risk management, and financial modeling.

What are the most commonly searched types of Quant jobs in Berkeley, CA?

The most popular types of Quant jobs in Berkeley, CA are:

What are popular job titles related to Quant jobs in Berkeley, CA?

For Quant jobs in Berkeley, CA, the most frequently searched job titles are:

What job categories do people searching Quant jobs in Berkeley, CA look for?

The top searched job categories for Quant jobs in Berkeley, CA are:

What cities near Berkeley, CA are hiring for Quant jobs?

Cities near Berkeley, CA with the most Quant job openings:

Infographic showing various Quant job openings in Berkeley, CA as of August 2026, with employment types broken down into 72% Full Time, and 28% Contract. Highlights an 32% In-person, and 68% Remote job distribution, with an average salary of $206,915 per year, or $99.5 per hour.

Quantitative Researcher - Model Scaling

MSCI

San Francisco, CA • On-site

$144K - $187K/yr

Full-time

Re-posted 26 days ago


Job description

Your Team Responsibilities
The Factors Research Platform and Governance team is responsible for building and modernizing the infrastructure, tooling, and frameworks that power MSCI's quantitative risk and factor model research. The team develops the systems and environments that enable researchers to iterate quickly, maintain model governance, and deliver production-quality outputs at scale.
Your Key Responsibilities
  • Designing and building modern research infrastructure that integrates AI to accelerate model development, validation, and reporting workflows
  • Developing tools and frameworks that allow researchers to move from high-level specifications to production-ready implementations with minimal manual overhead
  • Building and maintaining automated validation, testing, and governance pipelines for quantitative models
  • Writing production-level code to support platform development and model delivery
  • Supporting existing factor and risk models while evolving the platform to enable faster research iteration
  • Collaborating cross-functionally with research, engineering, and data teams
  • Presenting complex systems and methods to a broad range of audiences

Your skills and experience that will help you excel
  • M.S. or Ph.D. in Finance, Statistics, Computer Science, Engineering, or other quantitative discipline
  • Strong software engineering skills, particularly in Python
  • Hands-on experience with modern AI-assisted development tools and workflows, with a demonstrated ability to stay current with rapidly evolving AI capabilities and incorporate them into day-to-day work
  • Experience building systems and tooling that leverage AI/LLMs to augment technical workflows
  • Data analysis and experience with large-scale data infrastructure
  • Econometrics and applied statistics
  • Ability to work independently and drive projects from design through delivery
  • Knowledge of finance or risk modeling is preferred but not required

About MSCI
What we offer you
  • Salary range: $144,000 - $187,000 / year plus eligible for annual bonus
  • Transparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall wellbeing.
  • Flexible working arrangements, advanced technology, and collaborative workspaces.
  • A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results.
  • A global network of talented colleagues, who inspire, support, and share their expertise to innovate and deliver for our clients.
  • Global Orientation program to kickstart your journey, followed by access to our Learning@MSCI platform, AI Learning Center, LinkedIn Learning Pro and tailored learning opportunities for ongoing skills development.
  • Multi-directional career paths that offer professional growth and development through new challenges, internal mobility and expanded roles.
  • We actively nurture an environment that builds a sense of inclusion belonging and connection, including eight Employee Resource Groups. All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola! MSCI, Pride & Allies, Women in Tech, and Women's Leadership Forum.

At MSCI we are passionate about what we do, and we are inspired by our vision - to power better decisions. You'll be part of an industry-leading network of creative, curious, and entrepreneurial pioneers. This is a space where you can challenge yourself, set new standards and perform beyond expectations for yourself, our clients, and our industry.
MSCI strengthens global markets by connecting participants across the financial ecosystem with a common language. Our research-based data, analytics and indexes, supported by advanced technology, set standards for global investors and help our clients understand risks and opportunities so they can make better decisions and unlock innovation. We serve asset managers and owners, private-market sponsors and investors, hedge funds, wealth managers, banks, insurers and corporates.
MSCI Inc. is an equal opportunity employer. It is the policy of the firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, gender, gender identity, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy (including unlawful discrimination on the basis of a legally protected parental leave), veteran status, or any other characteristic protected by law. MSCI is also committed to working with and providing reasonable accommodations to individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation for any part of the application process, please email Disability.Assistance@msci.com and indicate the specifics of the assistance needed. Please note, this e-mail is intended only for individuals who are requesting a reasonable workplace accommodation; it is not intended for other inquiries.
To all recruitment agencies
MSCI does not accept unsolicited CVs/Resumes. Please do not forward CVs/Resumes to any MSCI employee, location, or website. MSCI is not responsible for any fees related to unsolicited CVs/Resumes.
Note on recruitment scams
We are aware of recruitment scams where fraudsters impersonating MSCI personnel may try and elicit personal information from job seekers. Read our full note on careers.msci.com

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About MSCI

Sourced by ZipRecruiter

Industry

Finance and insurance

Company size

1,001 - 5,000 Employees

Headquarters location

New York, NY, US

Year founded

1969

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