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Quant Python Remote Jobs in Ashburn, VA (NOW HIRING)

Program/Data Analyst Advisor

Washington, DC ยท On-site +1

$124K - $143K/yr

Experience with quantitative and qualitative data analysis. * Data engineering and experience ... Python and/or R. * Tableau. * Palantir. * Linux and ability to maintain a Linux server. Additional ...

New

... quantitative methods, or program evaluation. * Experience working with nonprofit, academic, or research datasets and/or impact measurement. * Familiarity with SQL, Python, R, or similar tools used ...

We are open to hiring remote in the US. Essential Duties and Responsibilities: * Manage multiple ... Proficiency with Excel and at least one scripting language (R, Python, SQL) * Ability to work with ...

Remote SCOPE: The Emergency Preparedness Lead drives analytic operations supporting disaster ... Strong proficiency in quantitative and qualitative research methodologies. * Experience producing ...

Public Health Analyst

Vienna, VA ยท Remote

$57K - $70K/yr

Remote Alpha Omega is looking for a Public Health Analyst with very strong data management and ... The Public Health Data Analyst, primarily using SAS will manage and analyze quantitative ...

... related quantitative field. * Strong proficiency in Python and modern ML/CV libraries such as ... Experience working with remote sensing imagery including geometry, radiometric normalization ...

TS/SCI with Poly Potential for Remote Work: ORA_ON_SITE Description The Data Scientist will apply ... Create and edit visual content, including charts, graphs, and dashboards, to transform quantitative ...

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Quant Python Remote information

See Ashburn, VA salary details

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How much do quant python remote jobs pay per hour?

As of Jun 22, 2026, the average hourly pay for quant python remote in Ashburn, VA is $59.95, according to ZipRecruiter salary data. Most workers in this role earn between $49.42 and $68.08 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Quant Python Remote professional, and why are they important?

To thrive as a Quant Python Remote professional, you need a strong background in quantitative analysis, mathematics, and expertise in Python programming, often supported by a degree in a quantitative field. Familiarity with libraries like NumPy, pandas, and scikit-learn, as well as experience with version control systems and cloud-based collaboration tools, is typically required. Strong problem-solving abilities, attention to detail, and effective remote communication skills help distinguish top performers in this role. These competencies are crucial for developing robust quantitative models, collaborating efficiently across distributed teams, and driving data-driven decision-making in finance or related sectors.

What is a Quant Python Remote job?

A Quant Python Remote job involves working as a quantitative analyst or developer, focusing on financial modeling, data analysis, and algorithmic trading using Python, all while working remotely. Professionals in this role use Python to develop quantitative strategies, analyze financial data, and create tools for risk management or trading. These jobs are popular in hedge funds, investment banks, and fintech companies seeking experts who can work from anywhere. Strong programming skills, knowledge of statistics, and experience in finance are typically required.

What is the difference between Quant Python Remote vs Quantitative Analyst?

AspectQuant Python RemoteQuantitative Analyst
Required CredentialsDegree in Math, Stats, or CS; Python proficiency; sometimes certificationsDegree in Finance, Math, or Economics; strong programming skills; certifications like CFA are common
Work EnvironmentRemote, flexible hours, often self-directedTypically office-based, but increasingly remote; collaborative teams
Employer & IndustryFinancial firms, hedge funds, fintech companiesInvestment banks, asset management firms, hedge funds
Search & Comparison IntentLooking for remote Python-based quant rolesSeeking quantitative analysis roles in finance

While both roles involve quantitative skills and finance knowledge, Quant Python Remote emphasizes remote work and Python programming, whereas Quantitative Analyst roles may be more traditional and office-based, often requiring finance-specific certifications. Candidates should consider their preferred work environment and skill set when choosing between these roles.

What are some typical challenges faced by Quant Python professionals working remotely, and how can they be addressed?

Quant Python professionals working remotely often encounter challenges such as collaborating effectively with team members across different time zones, maintaining clear communication on complex quantitative models, and ensuring secure access to sensitive financial data. To address these issues, it's important to utilize robust collaboration tools (like Slack or Zoom), establish regular check-ins with teammates, and follow best practices for code documentation and version control. Additionally, many employers provide secure VPNs and cloud-based platforms to facilitate safe data access, helping remote quants stay productive and connected.
What are popular job titles related to Quant Python Remote jobs in Ashburn, VA? For Quant Python Remote jobs in Ashburn, VA, the most frequently searched job titles are:
What job categories do people searching Quant Python Remote jobs in Ashburn, VA look for? The top searched job categories for Quant Python Remote jobs in Ashburn, VA are:
What cities near Ashburn, VA are hiring for Quant Python Remote jobs? Cities near Ashburn, VA with the most Quant Python Remote job openings:
Senior Operations Research Supply Chain Developer

Senior Operations Research Supply Chain Developer

Logistics Management Institute

Tysons, VA โ€ข Remote

$79K - $98K/yr

Full-time

Posted 4 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.