Quantitative Jobs in California
Quantitative jobs in California are concentrated in finance, technology, and asset management, with the state standing as one of the most active hiring markets in the country for roles at every level from junior analyst to senior researcher. The deepest clusters of openings are in San Francisco, Los Angeles, and San Diego, where firms like BlackRock, Citadel, and Two Sigma maintain significant California operations. The most in-demand specializations are quantitative research, algorithmic trading strategy, and risk modeling. Scan the live roles below and apply to whichever ones fit.
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Showing 5 of 51+ Quantitative jobs
Job Responsibilities
- Design, build, and operate high throughput batch and streaming data pipelines using Kafka, Flink, and ETL technologies
- Design and build unified analytics engine designed for processing large-scale data using Apache Spark and related tools
- Develop and optimize analytical data models for time-series, financial metrics, and trading activity
- Implement and manage analytical databases (ClickHouse, MongoDB, BigQuery, Snowflake, or similar) with cost-aware architecture
- Build idempotent data pipelines with robust backfill and reconciliation capabilities
- Create comprehensive monitoring for data quality, freshness, and pipeline reliability
AI Platform Development
- Design, build, and operate internal AI platforms serving multiple trading teams
- Build reusable AI tooling including standardized RAG pipelines, prompt management, and self-service workflows
- Create and maintain agent systems using modern frameworks (LangGraph, A2A, MCP) with focus on controllability and auditability
Job Requirements
- 5+ years production experience with both Python and Java in high-performance environments
- Strong software engineering fundamentals: system design, data structures, algorithms, data integrity, accuracy and performance optimization
- Expertise in Linux, Github, and modern CI/CD practices
- Proven experience with AWS cloud services and Kubernetes orchestration
- Comfort working with large-scale, complex datasets in financial/trading contexts
Data Platform Expertise
- Advanced SQL with window functions and query optimization, realtime data synchronization together with database design and infrastructure support
- Experience with data workflow and messaging orchestration (Airflow, Jenkins, AMPS etc.)
- Metric design and implementation for trading analytics (PnL, risk, balance and trade reconciliation, backfill and performance tuning)
- Time-series data visualization with Grafana, TradingView, web-based interactive dashboards and BI tools etc.
- Kafka, Flink, and event processing in production environments
AI Platform Capabilities
- Retrieval system evaluation methodologies and quality frameworks
- RAG pipeline architecture and optimization techniques
- LLMOps practices including model lifecycle and prompt management
- Experience with AI agent frameworks in production settings like A2A and MCP
Preferred Qualifications
- Experience in trading systems, quantitative finance, or financial technology
- Understanding of market data, data subscription using Rest API / Web Socket
- Knowledge of cryptocurrency markets, defi and related technologies
Professional Attributes
- Excellent problem-solving skills with ability to perform under pressure
- Strong communication skills for cross-team collaboration
- Proactive approach to system reliability and performance optimization
- Continuous learning mindset in rapidly evolving AI/ML landscape
- Balance of practical engineering rigor with innovative solution development
We may use artificial intelligence tools to analyze the content of your Resume/CV against the specific requirements for the position. The purpose is to support our recruitment team in reviewing applications more effectively. These tools assist our recruitment team in their evaluation of your application by providing recommendations, but they do not replace human judgment. Final hiring decisions are ultimately made by humans who consider the insights generated by the tools along with other relevant information. If you would like more details about how your personal information is processed, please contact us.
Job Responsibilities
- Design, build, and operate high throughput batch and streaming data pipelines using Kafka, Flink, and ETL technologies
- Design and build unified analytics engine designed for processing large-scale data using Apache Spark and related tools
- Develop and optimize analytical data models for time-series, financial metrics, and trading activity
- Implement and manage analytical databases (ClickHouse, MongoDB, BigQuery, Snowflake, or similar) with cost-aware architecture
- Build idempotent data pipelines with robust backfill and reconciliation capabilities
- Create comprehensive monitoring for data quality, freshness, and pipeline reliability
AI Platform Development
- Design, build, and operate internal AI platforms serving multiple trading teams
- Build reusable AI tooling including standardized RAG pipelines, prompt management, and self-service workflows
- Create and maintain agent systems using modern frameworks (LangGraph, A2A, MCP) with focus on controllability and auditability
Job Requirements
- 5+ years production experience with both Python and Java in high-performance environments
- Strong software engineering fundamentals: system design, data structures, algorithms, data integrity, accuracy and performance optimization
- Expertise in Linux, Github, and modern CI/CD practices
- Proven experience with AWS cloud services and Kubernetes orchestration
- Comfort working with large-scale, complex datasets in financial/trading contexts
Data Platform Expertise
- Advanced SQL with window functions and query optimization, realtime data synchronization together with database design and infrastructure support
- Experience with data workflow and messaging orchestration (Airflow, Jenkins, AMPS etc.)
- Metric design and implementation for trading analytics (PnL, risk, balance and trade reconciliation, backfill and performance tuning)
- Time-series data visualization with Grafana, TradingView, web-based interactive dashboards and BI tools etc.
- Kafka, Flink, and event processing in production environments
AI Platform Capabilities
- Retrieval system evaluation methodologies and quality frameworks
- RAG pipeline architecture and optimization techniques
- LLMOps practices including model lifecycle and prompt management
- Experience with AI agent frameworks in production settings like A2A and MCP
Preferred Qualifications
- Experience in trading systems, quantitative finance, or financial technology
- Understanding of market data, data subscription using Rest API / Web Socket
- Knowledge of cryptocurrency markets, defi and related technologies
Professional Attributes
- Excellent problem-solving skills with ability to perform under pressure
- Strong communication skills for cross-team collaboration
- Proactive approach to system reliability and performance optimization
- Continuous learning mindset in rapidly evolving AI/ML landscape
- Balance of practical engineering rigor with innovative solution development
We may use artificial intelligence tools to analyze the content of your Resume/CV against the specific requirements for the position. The purpose is to support our recruitment team in reviewing applications more effectively. These tools assist our recruitment team in their evaluation of your application by providing recommendations, but they do not replace human judgment. Final hiring decisions are ultimately made by humans who consider the insights generated by the tools along with other relevant information. If you would like more details about how your personal information is processed, please contact us.
See All 51 Quantitative Jobs in California
Find roles in California that match your experience and apply in just a few clicks.
Find Quantitative JobsQuantitative Jobs by City in California
Where California roles are concentrated, by current openings.
Quantitative Job Market in California
A snapshot from current California openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Investment & Asset Management
- Automotive
- Education
- Staffing & Recruiting
- Technology & Software
What California Employers Look For
The qualifications that appear most often in quantitative jobs across California.
- Advanced degree in mathematics, statistics, physics, or a closely related quantitative field
- Demonstrated proficiency in Python, R, or C++ for financial modeling and data analysis
- Experience building and validating statistical or machine learning models in a production environment
- Strong foundation in probability theory, stochastic calculus, or time-series analysis
- Ability to communicate complex quantitative findings clearly to non-technical stakeholders
- Familiarity with financial instruments, market microstructure, or risk frameworks used in California markets
Quantitative Jobs in California: Frequently Asked Questions
How do you become a quantitative in California?
Most quantitative roles in California require at minimum a master's degree, and many research-focused positions at hedge funds and asset managers prefer a doctorate in mathematics, statistics, physics, computer science, or financial engineering. California does not issue a state license specific to quantitative analysts, but candidates targeting roles at registered investment advisers or broker-dealers should be aware that FINRA Series exams may be required by the hiring firm. Strong programming skills and a demonstrated research portfolio are the most effective differentiators in the California hiring process.
Which companies hire quantitatives in California?
Companies currently hiring quantitatives in California include PIMCO, BlackRock, and Google, per current listings on Migrate Mate as of September 2026. California's concentration of technology-driven asset managers, proprietary trading firms, and large bank risk divisions means hiring activity is especially consistent across the San Francisco Bay Area and Los Angeles financial districts.
Which California cities have the most quantitative jobs?
San Francisco, Newport Beach, and Los Angeles have the most quantitative openings in California. San Francisco anchors the list because of its dense cluster of hedge funds, technology firms with quantitative finance divisions, and venture-backed fintech companies, while Los Angeles draws hiring from asset managers and entertainment-industry financial platforms, and San Diego contributes through its biotech and defense analytics sectors.
Are there remote quantitative jobs in California?
Yes, and more than most fields, because quantitative work is fundamentally desk-based and output is measured by models and research rather than physical presence. About 57% of quantitative openings tied to California are remote or hybrid as of September 2026, reflecting how broadly the industry has accepted distributed research teams. The roles most likely to be fully remote are independent strategy research and data-science-adjacent quant positions, while trading floor and risk-oversight roles tend to require on-site presence.
How can I get hired as a quantitative in California with little or no experience?
The most realistic entry path is through a quantitative internship or a rotational analyst program at a California-based asset manager or technology firm. Large firms with California offices such as BlackRock and Wells Fargo run structured new-graduate programs that accept candidates from master's programs in financial engineering at schools like UC Berkeley and UCLA. Candidates from adjacent roles in data science, actuarial analysis, or software engineering can move laterally by emphasizing modeling experience. Building and publicly sharing a research portfolio that demonstrates applied statistical or algorithmic work provides a concrete edge when formal credentials are limited.
Where can I find and apply to quantitative jobs in California?
You can find and apply to quantitative jobs in California on Migrate Mate, which lists current California openings across finance, technology, and risk management. Search the listings to find roles that match your background and apply directly to the ones that fit.
See All 51 Quantitative Jobs in California
Find roles in California that match your experience and apply in just a few clicks.
Find Quantitative Jobs