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Quantitative Modeling Jobs in Reston, VA (NOW HIRING)

Amicis Global

Quantitative Analyst

Washington, DC · On-site

We are seeking a highly skilled Quantitative Analyst and Tester to join the Financial and IT Modeling & Analytics team. This role will support capital markets trading and market risk management by ...

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Quantitative Modeling information

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$102K

$176.6K

$270K

How much do quantitative modeling jobs pay per year?

As of May 30, 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 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.

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.
More about Quantitative Modeling jobs
What job categories do people searching Quantitative Modeling jobs in Reston, VA look for? The top searched job categories for Quantitative Modeling jobs in Reston, VA are:
Quantitative Modeling jobs near you
Quantitative Risk Modeler

Quantitative Risk Modeler

Seneca Resources, LLC

Vienna, VA • On-site

$77/hr

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Title: Quantitative Risk Modeler
Location: Vienna, VA OR Winchester, VA OR Pensacola, FL
Job Type: Contract (extensions expected)
Years of Experience: 10+ years and/or doctorate degree required
Pay Rate:
Pensacola Pay : $60/hr on W2 or $72/hr on C2C
Winchester Pay : $63.00/hr on W2 or  $71/hr on C2C
Vienna Pay:$70/hr on W2 or $77/hr on C2C
 

Role Summary

This is a senior-level (10+ years / PhD) position focused on quantitative modeling for cybersecurity risk. It blends:

  • Advanced mathematics & statistics
  • Machine learning & probabilistic modeling
  • Cybersecurity analytics
  • Data engineering + visualization
Core Responsibilities (implied)

Although not explicitly listed, based on the requirements, you’d likely:

  • Build risk models using probability, statistics, and ML
  • Apply game theory to simulate attacker vs defender scenarios
  • Analyze large datasets (cyber/security data)
  • Design data pipelines and models
  • Create dashboards and visualizations for leadership
  • Translate complex technical insights into business decisions
Required Qualifications

Very high bar:

  • PhD in Mathematics, Physics, or Statistics (or equivalent deep experience)
  • 10+ years of experience
Strong theoretical background in:
  • Probabilistic theory
  • Dynamic systems
  • Statistical modeling
  • Machine learning algorithms
Technical Skills

You’re expected to be very strong in:

  • Programming: Python, SQL
  • Tools: Jupyter Notebook / VS Code
  • Data concepts:
    • Data modeling
    • Data mining
    • Database design
  • Visualization:
    • Strategy + tools like Power BI, Plotly
Advanced / Niche Expertise

This is what makes the role elite-level:

  • Game Theory (important!)
    • Bayesian games
    • Nash equilibrium
    • Algorithmic game theory
  • Cybersecurity knowledge:
    • Security frameworks
    • Risk analytics
Soft Skills

They emphasize:

  • Communication with both technical & non-technical stakeholders
  • Presentation skills (likely reporting to leadership)
  • Ability to simplify complex models into actionable insights.


About Seneca Resources:
Seneca Resources is client driven provider of strategic Information Technology consulting services and Workforce Solutions to government and industry. Seneca Resources is a leading IT services provider with offices in Reston, Virginia, Alabama and Columbia, Maryland that service clients throughout the United States. The key to our success lies within our strong corporate culture which drives our business. We challenge our staff through engaging work, and we reward our staff through competitive compensation, extensive professional training, and excellent opportunities for career advancement. In turn, we look for only the best and brightest to join our team. We are an Equal Opportunity Employer and value the benefits of diversity in our workplace.

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