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Remote Quant Jobs in California (NOW HIRING)

Senior Data Scientist

Mountain View, CA ยท On-site +1

$204K - $259K/yr

Degree in a quantitative field (e.g. Statistics, Mathematics, Physics) * 5+ years of industry ... remote, the specific salary range for your preferred location, during the hiring process. Waymo ...

... remote and in-person), and any other methods you find impactful * Package insights into design ... Collect, analyze, and present quantitative and/or qualitative data to generate actionable strategic ...

Decision Scientist II, Mobile

Santa Monica, CA ยท Remote

$130K - $155K/yr

Bachelor's degree in a quantitative field such as mathematics, computer science, statistics, or ... Employer-matched 401(k) plan #LI-Remote The US base salary range for this full-time position is ...

Showing results 41-60

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 cities in California are hiring for Remote Quant jobs? Cities in California with the most Remote Quant job openings:

Senior Data Scientist, Innovation Lab - Remote

Experian

San Diego, CA โ€ข Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 6 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

Experian Innovation Lab is a research and development unit at Experian formed with the desire to work in collaboration with Experian's departments to enhance relationships with clients and acquire strategic datasets. Experian is a global leader in providing information, analytical tools and marketing services to organizations and consumers to help manage the risk and reward of commercial and financial decisions. Using our comprehensive understanding of individuals, markets and economies, we help organizations develop customer relationships to make their businesses more profitable.

As a Senior Data Scientist at the Experian Innovation Lab, your role will be to research and develop analytical solutions, prototype new products, and evaluate data assets. You must bring an experience in predictive modeling, machine learning, and deep learning to this position. You will report into the Sr. Principal Data Scientist

You'll have opportunity to:

  • Create advanced machine learning analytical solutions to extract insights from diverse structured and unstructured data sources.
  • Unearth data value by selecting and applying the right machine learning, deep learning and processing techniques.
  • Refine data manipulation and retrieval through the design of efficient data structures and storage solutions.
  • Innovate with tools designed for data processing and information retrieval.
  • Dissect and document vast datasets, analyzing them to highlight patterns and insights.
  • Solve complex challenges by developing impactful algorithms.
  • Ensure model excellence by validating performance scores and analyzing Return on investment and benefits.
Qualifications
  • PhD degree in Machine Learning, Data Science, AI, Computer Science, or a related quantitative field.
  • 2+ years of experience in AI, data science, or predictive modeling
  • Proficiency in multiple programming languages, including Python
  • Experience in deep learning (CNN, RNN, LSTM, attention models), machine learning methodologies (SVM, GLM, boosting, random forest), graph models, or reinforcement learning.
  • Experience with open-source tools for deep learning and machine learning technology such as pytorch, Keras, tensorflow, scikit-learn, pandas.
  • Experience with large data analysis using pySpark
  • Experience with LLMs and the relevant tools in the Generative AI domain.
  • Experience with Hadoop and NoSQL related technologies such as Map Reduce, Hive, HBase, mongoDB, Cassandra.
  • Experience modifying and applying advanced algorithms to address practical problems
  • Experience with online, mobile marketing analytics
  • Experience with GPU programming
Additional Information

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://yourexperianbenefits.com/cand-index.html

Our uniqueness is that we celebrate yours. Experian's people first, inclusive and purpose driven culture is multi award-winning; World's Best Workplaces 2025 (Fortune Global Top 25), Great Place To Work 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. This position is also eligible for a variable pay opportunity and a comprehensive benefits package.

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.

Recruitment Fraud Awareness - Experian's recruitment process is conducted only through authorised channels. Recruitment communications will only be sent from an @experian.com email address. Experian will never ask candidates to make any payment as part of an application, interview, assessment, onboarding, or recruitment process. To apply for roles or verify opportunities, please visit experian.com/careers..

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