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Remote Graduate Quantitative Analyst Jobs (NOW HIRING)

A real estate services firm in New York City has a great Remote opportunity awaiting a new Data ... Perform other duties, as needed Qualifications: * 5+ years of experience in Quantitative Analysis ...

This remote role is open to candidates based across the United States Requirements Responsibilities ... analytical judgment and learning ability. - Strong computer science fundamentals, including data ...

Be Seen First

Gather, organize, and interpret qualitative and quantitative information. * Identify trends ... If you are an analytical, motivated professional or recent graduate interested in Business Analysis ...

Decision Science Analyst Senior

Tampa, FL · On-site +1

$83K - $110K/yr

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... Applies innovative and scientific/quantitative analytical approaches to draw conclusions and make ...

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Remote Graduate Quantitative Analyst information

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$56.5K

$133.9K

$240K

How much do remote graduate quantitative analyst jobs pay per year?

As of Sep 2, 2026, the average yearly pay for remote graduate quantitative analyst in the United States is $133,877.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,500.00 and $145,500.00 per year, depending on experience, location, and employer.

What is a remote graduate quantitative analyst?

Remote Graduate Quantitative Analysts are entry-level professionals who use mathematical, statistical, and computational techniques to analyze data and solve problems for businesses or financial institutions, working entirely from a remote location. They typically have a recent degree in fields like mathematics, statistics, finance, engineering, or related disciplines. Their work may involve building quantitative models, conducting risk analysis, and interpreting large datasets to provide actionable insights. The remote aspect allows them to collaborate with teams and clients from anywhere, often using specialized software and online communication tools.

What skills and qualifications are needed to thrive as a remote graduate quantitative analyst?

To thrive as a Remote Graduate Quantitative Analyst, you need a solid background in mathematics, statistics, and data analysis, typically supported by a quantitative degree. Proficiency with statistical software such as Python, R, and SQL, as well as familiarity with data visualization tools, is commonly required. Strong problem-solving skills, attention to detail, and effective remote communication set standout candidates apart. These skills ensure accurate data-driven insights and seamless collaboration within distributed teams, which are essential for delivering actionable business results.

What are common challenges faced by remote graduate quantitative analysts, and how can they be addressed?

As a remote graduate quantitative analyst, one of the main challenges is effective communication and collaboration with team members, especially when working across different time zones. To overcome this, it's important to proactively schedule regular virtual meetings and use collaborative platforms to stay connected. Additionally, managing your own time and staying motivated without in-person supervision can be difficult, so setting a structured daily routine and clear goals is essential. Seeking feedback regularly and participating in online team discussions can also help you stay engaged and contribute effectively.

What is the difference between Remote Graduate Quantitative Analyst vs Remote Data Analyst?

AspectRemote Graduate Quantitative AnalystRemote Data Analyst
Required CredentialsDegree in Mathematics, Statistics, or Finance; often entry-levelDegree in Data Science, Statistics, or related; entry-level to mid-level
Work EnvironmentFinancial firms, hedge funds, investment banksVarious industries including tech, marketing, finance
Employer & Industry UsageFinancial institutions, asset managementBroad industry use, including tech and consulting
Common Search & ComparisonYesYes

The Remote Graduate Quantitative Analyst and Remote Data Analyst roles share similar educational backgrounds and work environments, especially in finance and data-driven industries. However, quantitative analysts focus more on financial modeling and risk assessment, while data analysts handle broader data interpretation across various sectors.

More about Remote Graduate Quantitative Analyst jobs

What cities are hiring for Remote Graduate Quantitative Analyst jobs?

Cities with the most Remote Graduate Quantitative Analyst job openings:

What are the most commonly searched types of Graduate Quantitative Analyst jobs?

The most popular types of Graduate Quantitative Analyst jobs are:

What states have the most Remote Graduate Quantitative Analyst jobs?

States with the most job openings for Remote Graduate Quantitative Analyst jobs include:

Infographic showing various Remote Graduate Quantitative Analyst job openings in the United States as of August 2026, with employment types broken down into 3% As Needed, 74% Full Time, 19% Part Time, 1% Temporary, and 3% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $133,877 per year, or $64.4 per hour.

Part Time Data Analyst (Remote)

LEO&Co

New York, NY • Remote

Part-time

Re-posted 17 days ago


Job description

A real estate services firm in New York City has a great Remote opportunity awaiting a new Data Analyst. In this role, the Data Analyst (Remote) will be responsible for ensuring the business makes better decisions through collection and usage of data.

Responsibilities:

The Data Analyst (Remote) will:

  • Perform ad-hoc, strategic analysis of structured and unstructured data across multiple data sources, reflecting global real estate markets and the operations of real estate assets
  • Develop data structures and pipelines to organize, collect, cleanse, and standardize data in order to generate insights and addresses reporting needs
  • Define data requirements and gathers and validates information, using judgment and statistical tests
  • Identify and troubleshoot data integration and integrity issues in cooperation with the appropriate business units
  • Design work flows and procedures
  • Identify opportunities to maximize data usage, applying modeling and optimization methods to develop new strategies and improve business performance
  • Develop ad-hoc analytics and reporting based on analysis of existing data sources, utilizing a variety of tools
  • Perform other duties, as needed

Qualifications:

  • 5+ years of experience in Quantitative Analysis, Data Modeling, Reporting, Relational Database tools, Data Warehousing, Database Architecture, and SQL, SAS, and/or SPSS
  • 3+ years of Technical experience in Software Development, Machine Learning or Statistical Analysis, Data Engineering and Data Visualization related work
  • Associate's and/or Bachelor's Degree
  • Well versed in knowledge of creating algorithms, identifying patterns and insights from structured and unstructured data sets utilizing graphs, trees and/or other data representation techniques
  • Knowledge of Financial terms and principles
  • Solid analytical and problem solving skills
  • Great interpersonal skills
  • Excellent communication skills (written and verbal)
  • Strong attention to detail
  • Highly organized