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Remote Quantitative Analyst Jobs in Springfield, VA

Alpha Omega Integration

Public Health Analyst

Vienna, VA · Remote

$57K - $70K/yr

The Public Health Data Analyst, primarily using SAS will manage and analyze quantitative epidemiological, clinical and/or behavioral data and provide output in the format requested. This is a remote ...

Elder Research

Data Scientist (Remote)

Arlington, VA · On-site +1

Develop quantitative simulations and models to provide descriptive and predictive analytics ... Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV ...

Elder Research

Data Scientist (Remote)

Arlington, VA · On-site +1

Develop quantitative simulations and models to provide descriptive and predictive analytics ... Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV ...

GDIT

Program/Data Analyst Advisor

Washington, DC · On-site +1

$124K - $143K/yr

Experience with quantitative and qualitative data analysis. * Data engineering and experience ... Remote Work Location: USA DC Washington Additional Work Locations: Any Location / Remote Total ...

New

ICF

Business Analyst

Reston, VA · On-site +1

Remote (must reside within US) Ready to Make a Difference? ICF is seeking a Business Analyst for ... Our software solution is quantitative and analytical so a desire and experience to work on nuanced ...

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All JobsRemote Quantitative Analyst JobsRemote Quantitative Analyst Jobs in Springfield, VA

Remote Quantitative Analyst information

See Springfield, VA salary details

$59K

$139.8K

$250.7K

How much do remote quantitative analyst jobs pay per year?

As of Jun 23, 2026, the average yearly pay for remote quantitative analyst in Springfield, VA is $139,838.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,500.00 and $152,000.00 per year, depending on experience, location, and employer.

What are some typical challenges faced by Remote Quantitative Analysts, and how can they be addressed?

Remote Quantitative Analysts often face challenges such as managing complex data sets independently, ensuring clear communication with team members across different locations, and maintaining focus without direct supervision. To overcome these hurdles, it's important to establish a structured daily routine, utilize collaboration tools like Slack or Zoom for real-time communication, and document analyses thoroughly for transparency. Regular check-ins with colleagues and participation in virtual brainstorming sessions can also foster a sense of teamwork and facilitate problem-solving. Proactively seeking feedback and staying updated on industry best practices will help you grow and excel in this dynamic remote role.

What are the key skills and qualifications needed to thrive in the Remote Quantitative Analyst position, and why are they important?

To thrive as a Remote Quantitative Analyst, you need strong analytical and mathematical skills, a degree in a quantitative field like mathematics, statistics, or finance, and experience applying quantitative methods to real-world problems. Proficiency in statistical programming languages such as Python, R, or MATLAB, as well as expertise in data visualization tools and familiarity with databases, are highly valued, and certifications like CFA or FRM may be advantageous. Excellent communication, self-motivation, time management, and collaboration skills are essential for remote work, enabling you to explain complex findings clearly and work effectively across virtual teams. These abilities ensure accurate analysis, effective collaboration, and the delivery of actionable insights in a distributed work environment.

What is a Remote Quantitative Analyst job?

A Remote Quantitative Analyst is a professional who applies mathematical, statistical, and computational techniques to analyze financial data, build models, and support decision-making—while working from a remote location. They often work in industries like finance, investment banking, hedge funds, and fintech, focusing on risk management, trading strategies, and portfolio optimization. This role requires expertise in programming (Python, R, SQL), data analysis, and financial modeling. Remote Quantitative Analysts collaborate with teams via digital tools and must be self-motivated and detail-oriented.

What are popular job titles related to Remote Quantitative Analyst jobs in Springfield, VA? For Remote Quantitative Analyst jobs in Springfield, VA, the most frequently searched job titles are:
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Remote Quantitative Analyst jobs near you
Senior Operations Research Supply Chain Developer

Senior Operations Research Supply Chain Developer

Logistics Management Institute

Tysons, VA • Remote

$79K - $98K/yr

Full-time

Posted 5 days ago

Job description

The Operations Research Supply Chain Analyst will support Department of Defense supply chain, logistics, and sustainment initiatives by conducting data analysis, modeling, simulation, and operational research to drive informed decision-making. The analyst will perform data ETL, develop demand forecasts, assess inventory requirements, and identify top degraders through what-if simulation experiments.

This role requires strong analytical and quantitative skills, the ability to work collaboratively with senior and mid-level developers and subject matter experts, and the capacity to present findings clearly to senior DoD leaders and stakeholders.

Position is Remote with occasional travel to client site (~5%).


  • Help to identify, understand, and curate necessary data to support supply chain and logistics initiatives.
  • Perform data analysis and what-if simulation experiments to identify demand forecasts, inventory level requirements, top degraders, and other key supply chain metrics.
  • Develop supply chain assessments, studies, and analytical reports to inform DoD decision-making.
  • Present analysis and findings to government, industry, and internal stakeholders.
  • Work with a team of senior and mid-level developers and subject matter experts to answer project requirements and needs.
  • Coordinate with government, industry, and internal stakeholders to gather information, validate findings, and support recommended courses of action.

Required Qualifications

  • Bachelor's degree in a technical field such as math, physics, operations research, engineering, data analytics, or another relevant technical domain.
  • 3+ years of experience in supply chain and inventory management, industrial base analysis, technology assessments, logistics, acquisition support, intelligence analysis, or a related field.
  • 5+ years of experience using analytic tools such as Python, SQL, and Tableau to perform data exploration and analysis.
  • Strong quantitative, analytical, and research skills.
  • Demonstrated ability to use Microsoft Office Suite, including Word, PowerPoint, and Excel.
  • Ability to synthesize complex information into clear findings, risk statements, and actionable recommendations.
  • Superior oral and written communication skills, including the ability to prepare executive-level briefings and reports.
  • High energy, enthusiasm, tact, and ability to effectively interact with senior executives from government and industry.
  • Ability to create and foster a cooperative work environment.
  • Self-directed and detail-oriented, with the ability to complete assigned tasks, adapt to changing work efforts, and manage shifting priorities.
  • Availability for occasional travel (5%).
  • S. citizenship required.

Preferred Qualifications

  • Experience developing in C++.
  • Frontend application development using tools such as React and JavaScript.
  • Experience using Modeling and Simulation tools to run what-if scenarios and develop Courses of Action based on simulation output.
  • Experience with Predictive Maintenance for DoW clients.

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