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Remote Quant Jobs in California (NOW HIRING)

Senior Data Modeling Analyst - Remote

Costa Mesa, CA ยท On-site +1

$92K - $116K/yr

... quantitative analysis, Machine Learning, Statistical Modeling including large-scale data ... Flexible work environment, ability to work remote, hybrid or in-office * Flexible time off ...

Senior Data Modeling Analyst - Remote

Costa Mesa, CA ยท On-site +1

$92K - $116K/yr

... quantitative analysis, Machine Learning, Statistical Modeling including large-scale data ... Flexible work environment, ability to work remote, hybrid or in-office * Flexible time off ...

Data analysis / quantitative readouts Evaluator Type: Contract Compensation: $80-$120/hour Location: Remote Role Responsibilities * Evaluate AI-generated artifacts against domain-specific quality ...

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Remote work options may be available for this role. Responsibilities - Plan and execute research using appropriate qualitative and/or quantitative methods (e.g., interviews, product evaluations ...

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Showing results 1-20

Remote Quant information

What is the difference between Remote Quant vs Remote Data Scientist?

AspectRemote QuantRemote Data Scientist
Required credentialsAdvanced degrees in quantitative fields, such as Math, Physics, or FinanceDegrees in Computer Science, Statistics, or related fields
Work environmentFinancial firms, hedge funds, or trading companiesTech companies, startups, or research organizations
Employer usageUsed for developing trading algorithms and risk modelsUsed for analyzing data, building predictive models, and deriving insights

Remote Quants focus on developing quantitative models for finance and trading, often requiring advanced math and finance knowledge. Remote Data Scientists analyze large datasets to extract insights, typically with a background in computer science or statistics. While both roles involve data analysis, Quants are more finance and algorithm-focused, whereas Data Scientists have a broader application scope across industries.

What are the most commonly searched types of Quant jobs in California? The most popular types of Quant jobs in California are:
What are popular job titles related to Remote Quant jobs in California? For Remote Quant jobs in California, the most frequently searched job titles are:
What cities in California are hiring for Remote Quant jobs? Cities in California with the most Remote Quant job openings:

Director, Fraud Analytics Consulting - Remote

Experian

Costa Mesa, CA โ€ข On-site, Remote

$176K - $316K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 11 days ago


Job description

Company Description
Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. Experian invests in people and new advanced technologies to unlock the power of data. We have an amazing team of 25,200 people in 32 countries.
Job Description
The Fraud Analytics & Commercialization team drives Experian's fraud analytics business through four integrated functions - pre-sales engagement, scalable and custom solutions, consulting, and operational enablement - with the goal of becoming the industry's provider-of-choice. The Director of Fraud Analytics Consulting will work directly with major financial institutions to co-build custom fraud detection models and help clients understand emerging fraud trends. The role calls for a seasoned data scientist with an impact-focused mindset and strong collaborative, critical-thinking, and problem-solving skills - and welcomes candidates from unconventional backgrounds who demonstrate curiosity and self-direction. In addition to client-facing analytical work, the Director will mentor and develop the team, partner with product teams to scale analytics capabilities, and foster a culture of thoroughness, empathy, and shared success.
This is a remote position. You will report to the SVP of Fraud Analytics.
You will have opportunity to:
  • Partner with major financial institutions and emerging market clients to help them realize the full potential of Experian's proprietary fraud data and analytics solutions
  • Co-develop custom fraud detection models with client teams, guiding them through the data, the analytics environment, and Experian's proprietary fraud detection methodologies
  • Conduct investigative analytics to help clients identify new fraud trends, emerging risk patterns, and evolving threats across their portfolios
  • Design and implement scalable proof-of-value processes, including standardized templates and automation, to support expansion into new markets and client segments
  • Build self-serve tools and onboarding resources that accelerate time-to-value for down-market clients and support their path to self-sufficiency
  • Partner with product teams to shape the analytics consulting strategy for market expansion
  • Lead, mentor, and develop a small team of data scientists, creating an environment where curiosity, collaboration, and continuous growth are the norm
  • Serve as a trusted advisor and subject matter expert to clients, translating complex analytical concepts into clear, actionable insights

Qualifications
  • 7+ years of experience in data science, analytics, or a related quantitative field
  • Bachelor's or Master's degree in Statistics, Applied Mathematics, Econometrics, or a related quantitative discipline - or an equivalent combination of education and experience that demonstrates strong quantitative reasoning and analytical ability
  • Deep expertise in analytics and machine learning, with hands-on experience across the full modeling lifecycle; experience in fraud and/or credit analytics preferred
  • Strong investigative analytics mindset - skilled at identifying patterns, forming hypotheses, and drawing meaningful conclusions from complex, large-scale datasets
  • Demonstrated ability to lead, mentor, and develop data scientists
  • Experience working with clients or business partners in a consulting, advisory, or client-facing analytics role
  • Able to translate an ambiguous client need into a well-defined hypothesis with an analytical plan to address it
  • Experience designing scalable analytical processes, tools, or frameworks - ideally in a context where repeatability and efficiency were business priorities
  • Strong Python skills for data analysis and machine learning, including PySpark, Polars, NumPy, and Pandas; familiarity with large-scale data processing frameworks and cloud platforms, especially Spark and AWS
  • Willingness to travel periodically for on-site client workshops and engagements

Additional Information
Our uniqueness is that we celebrate yours. Experian's people first, inclusive and purpose driven culture is multi award-winning; World's Best Workplacesโ„ข 2025 (Fortune Global Top 25), Great Place To Workโ„ข in 26 countries to name a few. Check out Experian Life on social or explore our Careers Site to understand why.
Our compensation reflects the cost of labor across several U.S. geographic markets. The base pay range for this position is listed above. Within this range, individual pay is determined by work location and additional factors such as job-related skills, experience, and education. You will be also eligible for a variable pay opportunity.
Experian is proud to be an Equal Opportunity Employer for all groups protected under applicable federal, state and local law, including protected veterans and individuals with disabilities. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.
Benefits/Perks:
  • Great compensation package and bonus plan
  • Core benefits including medical, dental, vision, and matching 401K
  • Flexible work environment, ability to work remote, hybrid or in-office
  • Flexible time off including volunteer time off, vacation, sick and 12-paid holidays
  • Explore all our exciting benefits here: https://myexperianbenefits.com/