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Quantitative Modeling Jobs in Washington, DC (NOW HIRING)

Freddie Mac

Single Family Data Analyst

Mclean, VA · On-site

Single-Family relies on data analysis, quantitative modeling, and emerging technologies to support business decisions, risk management, and operational effectiveness. * We provide data governance ...

Freddie Mac

Single Family Data Analyst

Mclean, VA · On-site

Single-Family relies on data analysis, quantitative modeling, and emerging technologies to support business decisions, risk management, and operational effectiveness. * We provide data governance ...

Freddie Mac

Single Family Data Analyst

Mclean, VA

Single-Family relies on data analysis, quantitative modeling, and emerging technologies to support business decisions, risk management, and operational effectiveness. * We provide data governance ...

Freddie Mac

Single Family Data Analyst

Mclean, VA

$30.29 - $45.67/hr

Single-Family relies on data analysis, quantitative modeling, and emerging technologies to support business decisions, risk management, and operational effectiveness. * We provide data governance ...

Freddie Mac

Single Family Data Analyst

Mclean, VA · On-site

Single-Family relies on data analysis, quantitative modeling, and emerging technologies to support business decisions, risk management, and operational effectiveness. * We provide data governance ...

Freddie Mac

Quantitative Analytics Senior

Mclean, VA

$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 ...

Freddie Mac

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 ...

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All JobsQuantitative Modeling JobsQuantitative Modeling Jobs in Washington, DC

Quantitative Modeling information

See Washington, DC salary details

$111K

$192.2K

$293.9K

How much do quantitative modeling jobs pay per year?

As of Aug 8, 2026, the average yearly pay for quantitative modeling in Washington, DC is $192,234.00, according to ZipRecruiter salary data. Most workers in this role earn between $152,300.00 and $225,400.00 per year, depending on experience, location, and employer.

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 is a quantitative modeling?

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 the most commonly searched types of Quantitative Modeling jobs in Washington, DC? The most popular types of Quantitative Modeling jobs in Washington, DC are:
What are popular job titles related to Quantitative Modeling jobs in Washington, DC? For Quantitative Modeling jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Quantitative Modeling jobs in Washington, DC look for? The top searched job categories for Quantitative Modeling jobs in Washington, DC are:
Quantitative Modeling jobs near you
Infographic showing various Quantitative Modeling job openings in Washington, DC as of August 2026, with employment types broken down into 86% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $192,234 per year, or $92.4 per hour.

Financial Management (Program Control) - Subject Matter Expert (FM1)

Tecolote Research

Chantilly, VA • On-site

$130K - $150K/yr

Full-time

Posted 23 days ago

Job description

Overview
Serve as a trusted subject matter expert for client-facing briefings, providing advanced recommendations on critical financial metrics, resource allocations, and program execution. This role directs complex cross-program analyses at the USSF Program Acquisition Executive (PAE) level, utilizing expert quantitative techniques to manage legislative impacts, direct budget formulation (IPBS, CBJB, CJB), and oversee major system acquisition baselines.
Responsibilities
Key Responsibilities:
  • Direct the consolidation of program baselines and spend plans at the Program Acquisition Executive level; lead cross-program analyses to determine performance impacts, resolve discrepancies, and recommend strategic resource trade-offs to executive managers.
  • Oversee PAE wide budget tracks at the directorate, project, sub-project, and Major System Acquisition (MSA) levels.
  • Lead the coordination of complex budget estimates, assessing funding impacts for cross-Directorate initiatives and recommending resource solutions within USSF constraints.
  • Lead final reviews and resolve discrepancies for PAE level submissions for critical budget exercises including IPBS, CBJB, and CJB.
  • Oversee PAE level data in NEXT, IRIS, and SNAP or similar systems; direct the reconciliation of FIRST to ensure requirement-to-budget validity.
  • Direct the drafting of operating guidance incorporating Congressional marks; strategically assess the intent and impact of Legislative/Executive Branch actions to ensure incorporation into budget documentation.
  • Employ advanced quantitative modeling and creative analysis techniques to perform complex trend analysis across disparate financial data sources for executive-level decision making.
  • Architect and propose strategic design improvements for corporate resource repositories, decision support tools, and procedures to enhance PAE financial reporting.
  • Oversee BLI requests in compliance with USSF policies (Contract, CLIN, Appropriations, ETs, BOCs) and evaluate PAE execution methodologies to ensure programs meet strategic goals.
  • Direct resource realignments, maintain strict PAE-level financial controls, and lead the consolidation/review of PAE-level UFRs for executive prioritization.
  • Prepare and finalize executive-level budget summaries, issue papers, and talking points; lead cross-USSF program meetings to develop responses to critical action items.
  • Direct the development, data collection, and reporting of PAE-wide performance measures and coordinate with external oversight.
  • Provide strategic feedback and recommendations to senior management on complex cross-program resource issues arising from PMRs and BMRs.
  • Conduct expert reviews of ICE, Cost PMP/BAAR, and MSA resource reports; provide regulatory compliance guidance and assist in advanced cost estimate development.

Skills Required
Required Qualifications
  • Master's degree (MA/MS) is required.
  • Minimum 15 years of relevant experience.
  • Expert knowledge of IC budgetary principles and procedures.
  • Expert-level knowledge of acquisition management regulations, policies, and procedures including major system acquisition lifecycle resource planning, Acquisition Program Baseline (APB) development, and PMPs.
  • Extensive experience applying advanced cost analysis methodologies in a major system acquisition environment.
  • Expertise in various quantitative techniques used to analyze data, develop models, and interpret results (competencies include descriptive statistics, trend analysis, learning curve theory, modeling, and simulation).
  • Advanced operational judgment and the skill to autonomously recognize when decisions or information should be referred to a higher authority.

Desired Qualifications
  • Extensive history advising senior government/USSF/USAF leadership on financial metrics and Congressional mark impacts.

Core Competencies
  • Executive IC Budget Strategy (IPBS, CBJB, CJB)
  • Advanced Quantitative Modeling & Simulation
  • Legislative Impact Assessment
  • Enterprise Financial System Architecture

Work Environment
  • On-site, high-visibility client-facing environment at the PAE and USSF headquarters level.
  • Requires providing strategic guidance and leading cross-program meetings with senior executives.

Security Clearance & Salary
  • Active DoD/IC Security Clearance (Top Secret/SCI) is required.
  • U.S. citizenship is required.

Salary Range: $130,000 - $150,000/year, DOE
Education
Bachelor's degree required, preferably in math, engineering, or the sciences.

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