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Virtual Quant Research Internships Jobs in Virginia

CarMax, Inc.

Strategy Analyst

Richmond, VA · On-site

Practical experience (coursework, projects, research, internships) * Enthusiasm for growth ... Bachelor's Degree required, in an analytical/quantitative major preferred * 0-2 years of experience ...

Carmax

Strategy Analyst

Richmond, VA

Practical experience (coursework, projects, research, internships) * Enthusiasm for growth ... Bachelor's Degree required, in an analytical/quantitative major preferred * 0-2 years of experience ...

Carmax

Strategy Analyst

Richmond, VA · On-site

$68K - $102K/yr

Practical experience (coursework, projects, research, internships) * Enthusiasm for growth ... Bachelor's Degree required, in an analytical/quantitative major preferred * 0-2 years of experience ...

ICF

Transportation Researcher

Arlington, VA · Hybrid

Department of Transportation, the Transportation Research Board, state transportation and ... Quantitative analysis skills are also needed. The Transportation Researcher will be expected to ...

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Virtual Quant Research Internships information

What is a virtual quant research internship?

Virtual Quant Research Internships are remote internship programs where students or recent graduates work on quantitative research projects, often in finance, data science, or technology sectors. Interns typically analyze large datasets, develop mathematical models, and use programming skills to solve real-world problems, all while collaborating with teams online. These internships provide valuable hands-on experience in quantitative analysis and research methods, as well as exposure to industry-standard tools and practices. They are ideal for individuals seeking flexibility and practical experience without relocating.

What skills and qualifications are needed to thrive as a virtual quant research intern?

To thrive as a Virtual Quant Research Intern, you need a strong background in mathematics, statistics, and programming—usually supported by coursework in quantitative fields like mathematics, finance, or computer science. Familiarity with programming languages such as Python, R, or MATLAB, and experience with statistical analysis tools or data visualization libraries, are typically expected. Analytical thinking, problem-solving, and effective remote communication skills help set candidates apart. These abilities are crucial for successfully conducting quantitative research, producing actionable insights, and collaborating with remote teams in a virtual environment.

What are common challenges faced by virtual quant research interns, and how can they be addressed?

Virtual Quant Research Interns often encounter challenges such as limited access to real-time collaboration, difficulty in understanding complex quantitative concepts without in-person guidance, and managing independent research projects remotely. To address these challenges, it's important to proactively communicate with mentors, participate in virtual team meetings, and utilize collaborative tools like shared code repositories and video conferencing. Setting clear goals and regularly seeking feedback can also help interns stay engaged and ensure progress, even in a remote environment.

What is the difference between Virtual Quant Research Internships vs Virtual Data Analyst Internships?

AspectVirtual Quant Research InternshipsVirtual Data Analyst Internships
Required CredentialsTypically pursuing degrees in finance, economics, or mathematicsOften pursuing degrees in statistics, data science, or related fields
Work EnvironmentFinancial firms, hedge funds, or investment banksCorporations, consulting firms, or tech companies
Employer & Industry UsageUsed mainly in finance and investment industriesCommon across various industries including tech, marketing, and finance
Search & Comparison IntentFocus on finance, quantitative research, and investment analysisFocus on data analysis, reporting, and business insights

Virtual Quant Research Internships primarily target students interested in finance and quantitative analysis within investment firms, while Virtual Data Analyst Internships are broader, covering various industries and emphasizing data interpretation and reporting. Both roles require strong analytical skills but differ in industry focus and typical employer types.

What are the most commonly searched types of Quant Research Internships jobs in Virginia?

The most popular types of Quant Research Internships jobs in Virginia are:

What are popular job titles related to Virtual Quant Research Internships jobs in Virginia?

For Virtual Quant Research Internships jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Virtual Quant Research Internships jobs in Virginia look for?

The top searched job categories for Virtual Quant Research Internships jobs in Virginia are:

What cities in Virginia are hiring for Virtual Quant Research Internships jobs?

Cities in Virginia with the most Virtual Quant Research Internships job openings:

Virtual Quant Research Internships jobs near you
Infographic showing various Virtual Quant Research Internships job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Research Statistician - Tracking and Estimation Theory

General Atomics

Charlottesville, VA • On-site

Full-time

Re-posted 4 days ago

General Atomics rating

9.0

Company rating: 9.0 out of 10

Based on 39 frontline employees who took The Breakroom Quiz

10th of 72 rated aerospace companies

Job description

Job Summary
Are you a statistician who wants to see your Bayesian models protect national security?
GA-Intelligence is seeking a Statistics PhD to develop tracking algorithms that process data from heterogeneous sensors, fuse tracks across domains, and enable time-critical intelligence decisions. You'll apply statistical inference, state-space modeling, and Monte Carlo methods to multi-target tracking challenges that combine mathematical rigor with operational constraints.
Your work will span algorithm research, operational analysis, and production deployment-from deriving novel filters to validating performance on classified sensor data to partnering with engineers who implement your algorithms at scale.
DUTIES AND RESPONSIBILITIES:
Algorithm Research and Development:
  • Guide the development of state-of-the-art tracking algorithms from existing tracking literature, ensuring technical correctness.
  • Develop statistical approaches to data association in multi-target, multi-sensor environments
  • Derive probabilistic models for target behavior and sensor measurement processes
  • Prototype algorithms in Python, MATLAB, or R and validate performance through Monte Carlo simulation
  • Apply modern statistical and computational methods to emerging tracking challenges

Operational Impact:
  • Collaborate with intelligence analysts to understand tracking requirements and operational constraints
  • Analyze tracking performance on real-world sensor data from classified systems
  • Quantify and communicate uncertainty, assumptions, and limitations to support operational decision-making
  • Translate operational gaps into tractable statistical problems
  • Partner with software engineers to transition algorithms from prototype to production

Research Leadership:
  • Publish internal research on tracking advances and algorithmic innovations
  • Present findings to technical staff, program managers, and government decision-makers, as well as external conferences
  • Contribute to proposal development and help shape future research directions
  • Mentor junior team members and future hires
  • Stay current with tracking research literature and evaluate applicability to operational problems
We recognize and appreciate the value and contributions of individuals with diverse backgrounds and experiences and welcome all qualified individuals to apply.
Job Qualifications
  • Typically requires a bachelor's degree, master's degree or PhD in data science, applied mathematics, statistics, computer science, or related technical/quantitative discipline from an accredited institution and progressive data science experience as follows; five or more years of experience with a bachelor's degree, three or more years of experience with a master's degree, or one or more years with a PhD. May substitute equivalent experience in lieu of education.
  • Strong preference for PhD in Statistics, Biostatistics, or closely related quantitative field
  • Dissertation research in Bayesian inference, state-space modeling, sequential estimation, or time series analysis
  • Strong foundations in statistical inference, probability theory, statistical modeling, and Bayesian methods
  • Deep understanding of state-space models, Kalman filtering, and sequential Monte Carlo methods
  • Expertise in stochastic processes and time series analysis
  • Proficiency in Python, MATLAB, R, or similar scientific computing languages
  • Experience implementing statistical algorithms and conducting simulation studies
  • Strong analytical and problem-solving abilities
  • Ability to communicate complex statistical concepts clearly to technical and non-technical audiences
  • Curiosity about operational applications and mission context
  • Collaborative mindset-works well with software engineers, intelligence analysts, and researchers
  • Ability to obtain and maintain a DoD security clearance is required.

Preferred Qualifications:
Domain Experience:
  • Familiarity with tracking, navigation, or multi-target systems
  • Experience with sensor fusion or data association problems
  • Knowledge of Extended Kalman Filters, Unscented Kalman Filters, particle filters, or IMM filters
  • Understanding of coordinate transformations and reference frames

Research Background:
  • Contributed to peer-reviewed publications, technical reports, or conference presentations
  • Experience with probabilistic programming frameworks
  • Dissertation work involving real-world sensor data or applied problems
  • Prior internships or collaborations with defense, aerospace, or robotics organizations
  • Experience writing technical proposals for government research projects
  • Experience leading technical projects or mentoring junior researchers

Technical Breadth:
  • Programming experience in one or more languages such as Python, C++, Java
  • High-performance computing or numerical optimization
  • Version control (Git) and collaborative development practices
  • Exposure to real-time systems or computational constraints

Why Join GA-Intelligence
Operational Impact: Your tracking algorithms will run in production systems supporting intelligence analysts and military personnel. Your work directly contributes to national security missions.
Technical Challenge: Multi-target tracking in adversarial environments with heterogeneous sensors is an unsolved research problem. You'll tackle cutting-edge algorithmic challenges that combine statistical rigor with operational constraints.
Collaborative Environment: Work alongside tracking mathematicians, software engineers, intelligence analysts, and mission experts. We value diverse perspectives and believe the best solutions emerge from multidisciplinary collaboration. Our team is committed to advancing the state-of-the-art in tracking while maintaining a culture of innovation, integrity, and teamwork.
Research Opportunities: Continue publishing research, present at conferences, and contribute to the tracking research community while delivering operational capabilities.
Charlottesville Location:
  • Blue Ridge Mountains and Shenandoah National Park (30 minutes)
  • University town culture with intellectual community (University of Virginia)
  • Short average commute (no DC Beltway traffic)

Career Growth:
  • Build and lead tracking algorithm research team over time
  • Technical leadership opportunities
  • Shape strategic direction of tracking capabilities

What General Atomics employees say

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Benefits

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About General Atomics

Sourced by ZipRecruiter

General Atomics (GA), and its affiliated companies, is one of the world's leading resources for high-technology systems development ranging from the nuclear fuel cycle to remotely piloted aircraft, airborne sensors, and advanced electric, electronic, wireless and laser technologies.

Industry

Space research administration

Company size

10,000+ Employees

Headquarters location

San Diego, CA, US

Year founded

1955

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