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Remote Entry Level Quantitative Analyst Jobs in California

REMOTE - US Residents Only  We are looking for a thorough and analytical Data Analyst to ... Work experience in a quantitative field like mathematics, statistics, computer science, economics ...

Remote : OK Job role: As a data analyst, you will be responsible for compiling actionable insights ... Bachelors or Masters in a quantitative field (such as Engineering, Statistics, Math, Economics, or ...

Science- Data Scientist, Research Scientist, ML Scientist, Quantitative Analyst * Commercial ... remote-first work environment. Employee benefits include: * Competitive base salary and a ...

Remote Home Office - KMS Description The Wholesale Underwriter is responsible for reviewing and ... Conduct quantitative analysis to evaluate borrower profiles and market conditions impacting loan ...

This will be a hybrid in-office/remote role, and we are looking for candidates who plan to be ... quantitative skills * Proficiency in financial modeling, Google Suite, and Microsoft Excel ...

Associate, Venture Growth Investing

Irvine, CA · On-site +1

$17 - $22.50/hr

Strong financial modeling and quantitative analysis skills. Advanced proficiency in Excel and ... A flexible work environment with options for remote work. Competitive time off and a unique travel ...

The position is available for entry level candidates, or for professionals with 1-3 years of ... Traffic Noise Analysis Protocol. * Solve quantitative and qualitative problems * Interact ...

Showing results 21-40

Remote Entry Level Quantitative Analyst information

What is the difference between Remote Entry Level Quantitative Analyst vs Remote Data Analyst?

AspectRemote Entry Level Quantitative AnalystRemote Data Analyst
Required CredentialsBachelor's in Math, Statistics, or related field; some roles prefer certifications like CQFBachelor's in Data Science, Statistics, or related field; certifications like Microsoft Data Analyst often preferred
Work EnvironmentFinancial firms, hedge funds, or investment banks; focus on modeling and risk analysisTech companies, consulting firms, or marketing agencies; focus on data interpretation and reporting
Industry UsageCommon in finance, banking, and investment sectorsWidespread across various industries including tech, healthcare, and retail

The Remote Entry Level Quantitative Analyst primarily focuses on financial modeling and risk assessment within finance-related industries, requiring strong quantitative skills and relevant certifications. In contrast, the Remote Data Analyst works across diverse sectors, emphasizing data interpretation and reporting. Both roles are entry-level, require similar educational backgrounds, but differ in industry focus and specific skill sets.

What are the most commonly searched types of Remote Quantitative Analyst jobs in California? The most popular types of Remote Quantitative Analyst jobs in California are:
What job categories do people searching Remote Entry Level Quantitative Analyst jobs in California look for? The top searched job categories for Remote Entry Level Quantitative Analyst jobs in California are:
What cities in California are hiring for Remote Entry Level Quantitative Analyst jobs? Cities in California with the most Remote Entry Level Quantitative Analyst job openings:
Infographic showing various Remote Entry Level Quantitative Analyst job openings in California as of August 2026, with employment types broken down into 85% Full Time, 7% Part Time, 1% Temporary, and 7% Contract. Highlights an 81% Physical, 7% Hybrid, and 12% Remote job distribution.

Full-time

Posted 26 days ago


Job description

REMOTE - US Residents Only
We are looking for a thorough and analytical Data Analyst to go with our present team. Your job in this role will mostly consist on data collecting, processing, and analysis; these will affect strategic corporate decisions. By means of data visualization, statistical analysis, and reporting, you will directly engage several departments to understand their data needs and provide insightful analysis. For someone who enjoys statistics, enjoys solving issues, and enjoys using analytics to provide value, this is an amazing opportunity.

Main Activities:

By gathering, cleansing, and evaluating large datasets, find trends, patterns, and insights.

Create and update easy-to-use dashboards and reports to properly communicate findings to nontechnical stakeholders.

Analyze facts and come to decisions to support corporate strategy, process improvement, and decision-making.

Create and carry out ad hoc research to satisfy the needs of several divisions of the business.

Work with groups to create key performance indicators (KPIs) and to pinpoint critical metrics for ongoing observation.

Foretell outcomes and identify areas of expansion using statistical tools and data modeling.

Staying current with industry trends, best practices, and new technologies helps one to make sure that data analysis processes are continually being enhanced.

Automating repetitious data processes will help to simplify processes and increase efficiency.

Look for discrepancies and propose corrections to confirm data is accurate and full.

Needed Competencies:

Verified background in business analysis, data analysis, or any allied subject.

ability to effectively examine data with programs and languages including R, Python, SQL, or Excel.

skilled in the application of Tableau and Power BI among data visualization tools.

Mastery in statistical techniques and data modeling.

ability to succinctly and clearly show complex data results to viewers ranging in knowledge from professionals to laypeople.

Superior analytical and problem-solving skills; exacting.

competent of properly scheduling one's time, creating priorities, and finishing projects on schedule.

Work experience in a quantitative field like mathematics, statistics, computer science, economics, etc. or education in such areas.

Our offerings comprise:

a workplace supportive of innovative ideas and group projects.

Prospects for lifelong learning and professional development.

Reasonably affordable benefits and flexible working schedules.

a chance to greatly influence things by basing decisions on statistics.