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Quant Developer Remote Jobs in Chantilly, VA (NOW HIRING)

YO AI Labs

AI Data Science Expert - Remote

Washington, DC · Remote

$100 - $200/hr

Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ... Quantitative Analytics, or Data Analytics. * Experience producing or reviewing research papers ...

System One

Senior ServiceNow Developer

Washington, DC · Remote

$55.25 - $76/hr

Remote for now - possibly quarterly onsite or potential for future onsite requirements due to ... Identifies risks and challenges, performs qualitative and quantitative analyses, evaluates ...

System One

Legacy .NET Developer

Vienna, VA · Remote

Hybrid - onsite and remote Responsibilities * Identify business requirements (e.g., needs ... Perform qualitative and quantitative analysis using analytical techniques, tools, models ...

New

10a Labs

Machine Learning Engineer

Washington, DC · On-site +1

$130K - $200K/yr

Strong understanding of experimental design, model evaluation, and quantitative analysis ... Fully remote, U.S.-based * Health Benefits : Comprehensive health, dental, and vision coverage

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All JobsQuant Developer JobsQuant Developer Remote JobsQuant Developer Remote Jobs in Chantilly, VA

Quant Developer Remote information

What is a quant developer?

Quant Developers, or quantitative developers, are specialized software engineers who design, build, and maintain complex financial models, trading algorithms, and analytical tools for financial institutions. They work closely with quantitative analysts (quants) to implement mathematical models into code, often using programming languages like Python, C++, or Java. When working remotely, Quant Developers collaborate with teams via digital communication tools and are responsible for ensuring code quality and optimizing performance to support trading and risk management strategies.

What skills and qualifications are needed to thrive as a quant developer in a remote setting?

To thrive as a Quant Developer remotely, you need strong quantitative analysis, programming expertise (especially in Python, C++, or Java), and a background in mathematics, statistics, or finance, often supported by an advanced degree. Familiarity with financial modeling tools, version control systems like Git, and cloud-based collaboration platforms is essential. Exceptional problem-solving skills, self-motivation, and effective communication are key soft skills for excelling in a distributed team environment. These abilities enable accurate model development, seamless remote collaboration, and timely delivery of complex financial solutions.

What are some typical challenges quant developers face when working remotely, and how can they overcome them?

Quant Developers working remotely often encounter challenges such as coordinating with globally distributed teams, maintaining effective communication with traders and researchers, and ensuring secure access to sensitive financial data. Overcoming these challenges involves leveraging collaboration tools, establishing clear communication protocols, and adhering to robust cybersecurity practices. Regular virtual meetings and comprehensive documentation also help maintain alignment and workflow efficiency within the remote quant team.

What is the difference between Quant Developer Remote vs Quant Analyst Remote?

AspectQuant Developer RemoteQuant Analyst Remote
Required CredentialsDegree in Math, Finance, or Computer Science; programming skills (Python, C++, SQL)Degree in Finance, Economics, or Math; strong analytical skills; some programming knowledge
Work EnvironmentCollaborates with developers and traders; coding-focusedAnalyzes data and market trends; supports trading strategies
Employer & Industry UsageFinancial firms, hedge funds, asset managersFinancial institutions, hedge funds, investment firms
Common Search & ComparisonOften compared for technical roles in quant teamsRelated but more analysis-focused

While both roles operate within the finance industry and require quantitative skills, Quant Developer Remote primarily focuses on coding and developing trading algorithms, whereas Quant Analyst Remote emphasizes data analysis and strategy support. Understanding these differences helps candidates target their job search effectively.

What are popular job titles related to Quant Developer Remote jobs in Chantilly, VA?

For Quant Developer Remote jobs in Chantilly, VA, the most frequently searched job titles are:

What job categories do people searching Quant Developer Remote jobs in Chantilly, VA look for?

The top searched job categories for Quant Developer Remote jobs in Chantilly, VA are:

What cities near Chantilly, VA are hiring for Quant Developer Remote jobs?

Cities near Chantilly, VA with the most Quant Developer Remote job openings:

Quant Developer Remote jobs near you
Infographic showing various Quant Developer Remote job openings in Chantilly, VA as of August 2026, with employment types broken down into 86% Full Time, and 14% Part Time. Highlights an 100% Remote job distribution.

Senior Operations Research Supply Chain Developer

LMI

Tysons, VA • Remote

$79K - $98K/yr

Full-time

Re-posted 18 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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