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Quantitative Modeling Jobs in Reston, VA (NOW HIRING)

Quantitative Analyst Who We Are ThinkTek LLC is a fast-growing Certified SBA 8(a) and Service ... Manipulate model parameters to refine outputs, explore solution spaces, and evaluate sensitivity to ...

Transactional Quantitative Analyst

Washington, DC · On-site +1

$63.34 - $85.70/hr

The Transactional Quantitative Analyst will handle analytical projects to assist in structuring and ... Prepare financial models for pro forma capitalization scenarios, pro rata calculations, stock ...

Quantitative Analytics Senior

Mclean, VA · On-site

$126K - $190K/yr

Providing modeling and analytical support to a line of business or product area * Working under ... PhD in economics, finance, statistics, or a related quantitative discipline, or Master's degree ...

Providing modeling and analytical support to a line of business or product area * Working under ... PhD in economics, finance, statistics, or a related quantitative discipline, or Master's degree ...

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Quantitative Modeling information

See Reston, VA salary details

$102K

$176.6K

$270K

How much do quantitative modeling jobs pay per year?

As of Jul 12, 2026, the average yearly pay for quantitative modeling in Reston, VA is $176,578.00, according to ZipRecruiter salary data. Most workers in this role earn between $139,900.00 and $207,000.00 per year, depending on experience, location, and employer.

What is a quantitative modeler?

A quantitative modeler is a professional who develops mathematical and statistical models to analyze financial data, assess risk, and support decision-making in finance or related fields. They often use programming languages like Python or R and have strong skills in mathematics, statistics, and data analysis. These models help organizations optimize strategies and manage uncertainties effectively.

What jobs pay 500,000 a year in the US?

In quantitative modeling, senior roles such as quantitative analysts, quantitative traders, and hedge fund managers can earn $500,000 or more annually, especially with bonuses and profit sharing. These positions typically require advanced degrees, strong programming skills, and experience in financial markets or risk management.

What are typical daily tasks and projects for someone in a Quantitative Modeling role?

In a Quantitative Modeling position, your daily activities usually include analyzing large datasets, building and validating predictive models, and developing algorithms to solve business or financial problems. You might spend time coding, running simulations, and interpreting model outputs to inform strategy or risk assessment. Collaboration is common—you'll often work with data scientists, business analysts, or subject matter experts to refine models and ensure they're aligned with organizational goals. The work is intellectually stimulating and fast-paced, with opportunities to see your analytical insights directly impact decision-making.

What job makes $1,000,000 a year?

In quantitative modeling, high-level roles such as senior quantitative analysts, hedge fund managers, or chief investment officers can earn $1,000,000 or more annually, especially with bonuses and profit sharing. These positions typically require advanced degrees, strong analytical skills, and experience in finance, data analysis, or risk management.

What is the highest paid modeling job?

In quantitative modeling, senior roles such as Quantitative Research Director or Head of Quantitative Strategies tend to have the highest salaries, often exceeding $200,000 annually, especially in major financial centers. These positions require advanced skills in mathematics, programming, and financial theory, and may include bonuses and profit-sharing components.

What is a Quantitative Modeling job?

A Quantitative Modeling job involves using mathematical, statistical, and computational techniques to analyze data and construct models that help businesses make informed decisions. Professionals in this field work in finance, risk management, economics, and other industries to develop predictive models, optimize strategies, and assess uncertainties. They often use programming languages like Python, R, or MATLAB, along with machine learning and statistical methods, to solve complex problems.

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

To excel in Quantitative Modeling, a strong foundation in mathematics, statistics, and data analysis is essential, often complemented by a degree in a quantitative field such as mathematics, finance, engineering, or physics. Proficiency in programming languages like Python, R, MATLAB, or statistical software, as well as familiarity with data visualization tools and financial modeling certifications (such as CFA or FRM), is highly valued. Effective quantitative modelers possess strong problem-solving abilities, attention to detail, and the ability to communicate complex findings clearly to both technical and non-technical stakeholders. These skills enable accurate, data-driven decision-making and the creation of robust predictive models in business, finance, or technology sectors.

Infographic showing various Quantitative Modeling job openings in Reston, VA as of July 2026, with employment types broken down into 85% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $176,578 per year, or $84.9 per hour.
Quantitative Analyst

Quantitative Analyst

ThinkTek

Alexandria, VA • On-site

Full-time

Medical, Dental, Vision, PTO

Posted 23 days ago


Job description

Quantitative Analyst

Who We Are

ThinkTek LLC is a fast-growing Certified SBA 8(a) and Service-Disabled Veteran-Owned Small Business (SDVOSB) specializing in management and technology consulting for Federal Government modernization. We provide tailored solutions in Program & Project Management, Strategic Planning, and IT Operations.

Position Description

ThinkTek is seeking a skilled Functional Analyst to support Joint Data and Analytic Support – Intelligence Analysis & Data Support Services for Strategic Analysis, Future Force Planning, and Joint Capability Development. The successful candidate will apply analytical, operational, and quantitative methods to support defense resource allocation, force development, intelligence analysis, and program evaluation efforts. This role combines functional analysis, operations research, data analytics, and decision-support capabilities within complex national security environments.

The Functional Analyst will provide analytical support to Department of Defense stakeholders by conducting research, evaluating data, executing computational and optimization models, and developing actionable recommendations that inform strategic decisions. This position requires the ability to bridge operational, intelligence, and analytical disciplines while effectively communicating findings to technical and non-technical audiences.

Responsibilities
  • Conduct functional and quantitative analysis, statistical modeling, and data validation to support strategic portfolio reviews, force planning initiatives, intelligence assessments, and program evaluations.
  • Support strategic analysis efforts related to future force development, capability assessments, readiness evaluations, and resource allocation decisions.
  • Execute, interpret, and support optimization models using GAMS and similar tools to inform evidence-based decision-making across defense and intelligence missions.
  • Manipulate model parameters to refine outputs, explore solution spaces, and evaluate sensitivity to key assumptions and operational variables.
  • Analyze military, intelligence, operational, and resource allocation data to identify trends, risks, opportunities, and decision points.
  • Develop dashboards, visualizations, analytical products, and briefing materials that effectively communicate findings to government stakeholders and senior decision-makers.
  • Optimize data pipelines, analytical workflows, and data models to improve integrity, performance, and analytical efficiency.
  • Support Planning, Programming, Budgeting, and Execution (PPBE) activities through data-driven analysis and recommendations.
  • Contribute to force structure assessments, capability development initiatives, and joint planning efforts.
  • Collaborate with subject matter experts, operational planners, intelligence analysts, modeling teams, and government clients to validate assumptions and refine analytical approaches.
  • Prepare technical reports, briefings, white papers, and recommendations that translate complex analytical findings into actionable insights.
  • Support Joint Capability Development, Strategic Analysis, and Future Force Planning activities in accordance with contract requirements and government standards.
Required Qualifications
  • Active Top Secret clearance with SCI eligibility.
  • Bachelor's degree
  • Minimum of 4 years of experience in at least one of the following areas:
    • Military or operations research-related field (e.g., U.S. military operations, munitions, readiness, deployment planning, or operational analysis across air, space, ground, special operations, and maritime domains).
    • Planning, Programming, Budgeting, and Execution (PPBE).
    • Force and capability development.
    • Intelligence and collection analysis.
  • Experience performing functional analysis, operations research, quantitative analysis, computational modeling, intelligence analysis, data science, or related analytical functions.
  • Proficiency in Structured Query Language (SQL) to manage and query logistics and force inventories, personnel readiness databases, and intelligence reports.
  • Familiarity with optimization concepts and mathematical modeling, including the ability to execute models, interpret outputs, and adjust parameters.
  • Strong analytical and problem-solving skills with the ability to transform complex technical findings into actionable recommendations.
  • Excellent written and verbal communication skills.
  • Ability to work independently and collaboratively within multidisciplinary teams.
Desired Qualifications
  • Master of Science degree in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Data Science, or a related STEM field.
  • Experience with GAMS or similar optimization platforms such as CPLEX, Gurobi, AMPL, or Pyomo.
  • Familiarity with Joint Staff processes, DoW force planning, capability development frameworks, intelligence analysis methodologies, or defense resource allocation processes.
  • Experience supporting senior government leaders through analytical studies, decision support, or strategic planning efforts.

Pay Range

The anticipated salary range for this position is $73,015 – $77,939. This range is a good-faith estimate and not a guarantee of compensation. Final compensation will be based on factors including experience, education, skills, geographic location, internal equity, market data, and applicable contract requirements, and may fall outside the posted range.

ThinkTek LLC is proud to be an Equal Opportunity Employer (EOE), making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. ThinkTek offers medical, dental, and vision insurance to all full-time employees; PTO and a variety of other paid leave options are also available.