ZipRecruiter

Log In

1

Quantitative Methods Jobs in California (NOW HIRING)

Turo

Staff UX Researcher

San Francisco, CA · On-site

Mentor other researchers on quantitative methods, experimental design, and statistical rigor, and contribute to team playbooks and infrastructure. * Flex into qualitative methods (i.e. interviews ...

Agoda

Senior Product Manager (Bangkok-based)

Los Angeles, CA · On-site

$136K - $179K/yr

Computer Science, Statistics, Engineering, Mathematics, or similar quantitative discipline) • Proven ability to leverage analytics and quantitative methods to inform and influence decision-making ...

Circle

Staff Data Scientist - Payments

San Francisco, CA · On-site +1

You will leverage advanced analytics, experimentation, and quantitative methods to better understand customer behavior, product performance, and the evolving payments ecosystem. As a staff individual ...

previous page

Showing results 41-60

All JobsQuantitative Methods JobsQuantitative Methods Jobs in California

Quantitative Methods information

See California salary details

$30.6K

$89.4K

$144.1K

How much do quantitative methods jobs pay per year?

As of Aug 17, 2026, the average yearly pay for quantitative methods in California is $89,393.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,500.00 and $117,400.00 per year, depending on experience, location, and employer.

What are quantitative methods?

Quantitative methods refer to research techniques that focus on quantifying data and phenomena. These methods use statistical, mathematical, or computational tools to analyze numerical data, identify patterns, and make predictions. In various fields like finance, social sciences, and data science, quantitative methods are essential for making objective decisions and testing hypotheses. Techniques often include surveys, experiments, and analysis of large datasets.

What are the key skills and qualifications needed to thrive in quantitative methods?

To excel in Quantitative Methods, you need a strong background in mathematics, statistics, and data analysis, often supported by at least a bachelor's degree in a quantitative field. Proficiency with statistical software such as R, Python, SAS, or MATLAB, and familiarity with data visualization tools are commonly required. Analytical thinking, attention to detail, and effective communication skills help professionals interpret data and present insights clearly. These skills are critical for making data-driven decisions, solving complex problems, and supporting organizational objectives.

What are the most common challenges faced when working in a quantitative methods role, and how can new hires prepare to overcome them?

Professionals in Quantitative Methods often encounter challenges such as interpreting complex data sets, ensuring model accuracy, and translating quantitative findings into actionable business insights. It can also be demanding to communicate technical concepts to non-technical stakeholders and to stay updated with evolving analytical tools and methodologies. New hires can prepare by strengthening their statistical programming skills, practicing clear communication, and staying proactive about learning the latest industry software and best practices.

What is the difference between Quantitative Methods vs Data Analyst?

AspectQuantitative MethodsData Analyst
Required CredentialsStatistics, mathematics, data analysis certificationsStatistics, data analysis, business intelligence certifications
Work EnvironmentResearch, modeling, statistical analysis in finance, academia, or consultingData cleaning, visualization, reporting in various industries
Employer & Industry UsageFinancial firms, research institutions, consultingBusiness, marketing, healthcare, tech companies

While Quantitative Methods focus on developing statistical models and mathematical techniques for analysis, Data Analysts primarily interpret data through visualization and reporting to support business decisions. Both roles require strong analytical skills, but Quantitative Methods often involve more advanced statistical modeling and theoretical work, whereas Data Analysts focus on data interpretation and communication.

What jobs can you get with quantitative methods?

Quantitative methods skills are valuable in roles such as data analyst, financial analyst, risk analyst, operations researcher, and data scientist. These jobs typically require proficiency in statistical analysis, programming languages like Python or R, and data visualization tools, often within finance, healthcare, or technology industries.

What are popular job titles related to Quantitative Methods jobs in California?

For Quantitative Methods jobs in California, the most frequently searched job titles are:

What job categories do people searching Quantitative Methods jobs in California look for?

The top searched job categories for Quantitative Methods jobs in California are:

Quantitative Methods jobs near you
Infographic showing various Quantitative Methods job openings in California as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution, with an average salary of $89,393 per year, or $43 per hour.

Senior Quantitative Researcher - Risk Modeling

Swish Analytics

San Francisco, CA • On-site, Remote

Full-time

Re-posted 4 days ago

Job description

Company Description
Swish Analytics is a sports analytics and trading company building the next generation of predictive sports analytics and exchange-based trading products. We believe that profitable trading is a challenge rooted in engineering, mathematics, and market expertise-not intuition. We're seeking team-oriented individuals with an authentic passion for quantitative trading who can execute in a fast-paced environment without sacrificing technical excellence.
As we expand our presence on betting exchanges, we're building infrastructure and strategies akin to those found in traditional financial markets. Our challenges are unique, and we hope you're comfortable in uncharted territory.
Role Overview
As a Senior Quantitative Researcher, you will own end-to-end research and production pipelines for one or more trading strategies. You'll lead research initiatives that generate alpha and improve execution quality, mentor junior researchers, and collaborate closely with our Trading desk to translate quantitative insights into profitable systematic strategies while maintaining rigorous risk management.
Core Responsibilities
  • Own end-to-end research and production pipelines for a strategy
  • Lead alpha research initiatives leveraging advanced statistical and machine learning techniques
  • Process and analyze high-frequency tick data, order book snapshots, and market microstructure signals with sub-millisecond latency requirements
  • Analyze price formation, market liquidity dynamics, and limit order book imbalances across electronic venues
  • Build and run Monte Carlo simulations to estimate P&L distributions, risk exposures, and portfolio dynamics
  • Develop, backtest, and optimize quantitative trading strategies with rigorous statistical validation
  • Interpret complex model outputs and communicate alpha generation mechanisms to portfolio managers
  • Write modular, clean, and efficient Python code; build custom analytics libraries and research frameworks
  • Lead design reviews and establish data quality and research reproducibility standards
  • Guide 1-2 junior researchers through project delivery and model development
  • Proactively engage with traders and infrastructure teams to clarify research objectives and resolve data dependencies

Risk Modeling
  • Design and maintain real-time risk monitoring systems across multi-asset portfolios
  • Build models for dynamic position sizing, portfolio optimization, and factor exposure management
  • Develop stress testing and scenario analysis frameworks for tail-risk events and regime changes
  • Collaborate with Trading and Risk Management to define VaR limits, leverage constraints, and implement automated risk controls

Requirements
  • Minimum of 5 years of experience in quantitative research, systematic trading, or statistical modeling
  • Master's degree in a quantitative discipline (Mathematics, Statistics, Physics, Computer Science, Financial Engineering) strongly preferred; PhD a plus
  • Expert-level Python skills; able to build production-grade research and trading systems
  • Strong SQL skills; experience with complex queries on tick databases and time-series datasets
  • Deep experience with Monte Carlo methods, stochastic calculus, and probabilistic modeling
  • Proven ability to develop, backtest, and deploy systematic trading strategies with demonstrable P&L
  • Experience processing high-frequency tick data and real-time market feeds
  • Familiarity with AWS or similar cloud infrastructure for large-scale backtesting and research
  • Track record of mentoring junior quantitative researchers
  • Excellent communication skills; ability to present complex quantitative research to portfolio managers and trading desks
  • Experience designing enterprise-grade risk management systems with real-time Greeks calculation
  • Strong understanding of factor models, correlation structure, concentration risk, and portfolio attribution

Nice to Have
  • Proficiency in Rust, C++, or other systems languages for performance-critical components
  • Experience with MLOps, model monitoring, and adaptive retraining pipelines for regime detection
  • Background in derivatives pricing, options market making, or volatility arbitrage
  • Familiarity with FIX protocol, Betfair or Matchbook API experience, and ultra-low-latency trading infrastructure

Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the employer's discretion, this position may require successful completion of background and reference checks. Base salary is one hundred and fifty to two hundred and fifty thousand (plus bonus), depending on experience.
Department Trading Analytics Role Trading Data Science Locations San Francisco, CA - Remote Remote status Fully Remote

Apply