Quantitative Analyst Jobs in California
Quantitative Analyst jobs in California are among the most active in the country, concentrated in financial services, technology, and hedge funds, with openings at every level from entry-level analyst through senior researcher and principal quant. The largest hiring metros are San Francisco, Los Angeles, and San Jose, where firms like BlackRock, Wells Fargo, and Citadel have significant California footprints. The most in-demand specialties right now are algorithmic trading, risk modeling, and machine learning-driven portfolio analytics. Find a role that fits below and apply directly.
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At U.S. Bank, we’re on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at—all from Day One.
Job Description
We are seeking a motivated and detail-oriented Model Developer to join our Model Development & Decision Support (MDDS) team. In this role, you will support the development and implementation of expected loss forecasting models for Commercial Real Estate (CRE) and Small Business portfolios, ensuring compliance with CECL, CCAR, and other regulatory requirements.
Job Description
In this position, you will contribute to the development of credit risk models for Commercial Real Estate and Small Business portfolios, ensuring alignment with diverse financial and regulatory requirements. You will be responsible for maintaining consistency with the Bank’s risk management policies, procedures, and practices by collaborating with colleagues in credit portfolio risk management, corporate finance, external reporting, model validation, and audit services.
You are expected to communicate statistical model functions and predictions to stakeholders to demonstrate effective risk management and compliance as well as to foster integrations of credit risk modeling into business as usual (BAU) activities.
You will also support ongoing model performance monitoring, including backtesting review and investigation of unexpected results, as well as wholesale data development and maintenance.
Key deliverables include comprehensive written model technical documents, oral and written presentations, as well as fluent programming skills. The ideal candidate is expected to have a good understanding of commercial portfolios and statistical methods, industry experience, excellent communication, and attention to detail as well as a strong background in predictive modeling.
- Bachelor’s degree in a quantitative field, and five or more years of relevant experience
- MA/MS in a quantitative field, and three or more years of related experience
- PhD in a quantitative field, and less than two years of related experience
Preferred Skills/Experience
- Understanding of banking, financial metrics, and credit risk management
- Knowledge of banking regulation and requirements for stress testing and credit reserves.
- Effective verbal and written communication skills.
- Programming experience in Python and SAS
- Experience in building credit models for commercial exposures
- Experience working with internal model validation and model risk management
- Thorough data compilation, data quality review, and qualitative analysis skills
- Strong analytical, organizational, problem-solving, negotiation, and project management skills
- Ability to manage multiple tasks across various timelines
- Demonstrated independence, teamwork and leadership skills
- Code management and version control using Git
- Experience with model performance monitoring
LOCATION EXPECTATIONS: This role requires working from a U.S. Bank Location three (3) or more days per week.
If there’s anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to our disability accommodations for applicants.
Benefits:
Our approach to benefits and total rewards considers our team members’ whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following:
Healthcare (medical, dental, vision)
Basic term and optional term life insurance
Short-term and long-term disability
Pregnancy disability and parental leave
401(k) and employer-funded retirement plan
Paid vacation (from two to five weeks depending on salary grade and tenure)
Up to 11 paid holiday opportunities
Adoption assistance
Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law
Review our full benefits available by employment status here.
U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, and other factors protected under applicable law.
E-Verify
U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services.
The salary range reflects figures based on the primary location, which is listed first. The actual range for the role may differ based on the location of the role. In addition to salary, U.S. Bank offers a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401(k) contribution and pension (all benefits are subject to eligibility requirements). Pay Range: $98,175.00 - $115,500.00U.S. Bank will consider qualified applicants with arrest or conviction records for employment. U.S. Bank conducts background checks consistent with applicable local laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act as well as the San Francisco Fair Chance Ordinance. U.S. Bank is subject to, and conducts background checks consistent with the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA). In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures.
Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies.
Posting may be closed earlier due to high volume of applicants.
See All 12 Quantitative Analyst Jobs in California
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Find Quantitative Analyst JobsQuantitative Analyst Jobs by City in California
Where California roles are concentrated, by current openings.
Quantitative Analyst Job Market in California
A snapshot from current California openings, updated as new roles post.
Who's Hiring



Top Industries Hiring
- Banking & Financial Services
- Investment & Asset Management
What California Employers Look For
The qualifications that appear most often in quantitative analyst jobs across California.
- Advanced degree in mathematics, statistics, financial engineering, or a related quantitative field
- Proficiency in Python, R, or C++ for building and backtesting quantitative models
- Demonstrated experience with statistical modeling, stochastic calculus, or econometrics
- Familiarity with financial products including derivatives, equities, or fixed income instruments
- Experience using large datasets and tools such as SQL, MATLAB, or Bloomberg Terminal
- Strong written and verbal communication skills for presenting model results to non-technical stakeholders
Quantitative Analyst Jobs in California: Frequently Asked Questions
How do you become a quantitative analyst in California?
Most quantitative analyst roles in California require at minimum a master's degree, and many firms prefer a PhD, in mathematics, statistics, financial engineering, computer science, or physics. California does not issue a state-specific license for quantitative analysts, but candidates who pursue the CFA designation or the Financial Risk Manager credential gain a measurable edge with California's asset managers and banks. Large Bay Area and Los Angeles firms typically recruit directly from university programs and through internal referrals.
How much do quantitative analysts make in California?
Quantitative analysts in California earn a median of about $80,810 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $49,160 for the lowest 10% to over $163,120 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire quantitative analysts in California?
Employers hiring quantitative analysts in California right now include PIMCO, Pacific Gas and Electric, and Citi, based on current listings on Migrate Mate as of October 2026. California's concentration of hedge funds, technology firms, and major bank regional offices makes it one of the deepest markets in the country for quant hiring across asset classes.
Which California cities have the most quantitative analyst jobs?
Newport Beach, Oakland, and Los Angeles account for the most quantitative analyst openings in California. San Francisco and San Jose dominate because of the dense overlap between fintech, venture capital, and institutional asset management, while Los Angeles supports a growing concentration of hedge funds and entertainment-industry finance groups that draw heavily on quantitative talent.
Are there remote quantitative analyst jobs in California?
Yes, and more than most fields. About 80% of quantitative analyst openings tied to California are remote or hybrid as of October 2026, reflecting how model development and research work translates well to distributed environments. Roles centered on independent research, model validation, and data analysis tend to be the most remote-friendly, while positions requiring real-time trading floor access or close collaboration with trading desks are typically on-site.
How can I get hired as a quantitative analyst in California with little or no experience?
The most realistic entry path is through a quantitative internship or a junior analyst role at a California-based asset manager, bank, or fintech, often sourced from master's or PhD programs at UC Berkeley, UCLA, or Stanford. Large California employers like Wells Fargo and BlackRock run structured new-graduate programs that place candidates into rotational quant roles. Candidates transitioning from adjacent positions such as data scientist, actuary, or financial analyst strengthen their case by building a portfolio of independent modeling projects and earning the CFA or FRM credential.
Where can I find and apply to quantitative analyst jobs in California?
You can find and apply to quantitative analyst jobs in California on Migrate Mate, which lists current California openings updated regularly. Find the roles that fit your background and apply directly to each one.
See All 12 Quantitative Analyst Jobs in California
Find roles in California that match your experience and apply in just a few clicks.
Find Quantitative Analyst Jobs