Senior Quantitative Modeler

Guidehouse

. Develop, maintain, and enhance statistical, econometric, financial, and cash-flow models for complex financial assets and portfolios .

Posted 11/12/2026full-timeUnited StatesSenior💰 $130,000 - $216,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and maintaining complex financial models using statistical and econometric techniques, with strong proficiency in SAS programming and experience in cloud-based analytical environments. Capable of effectively communicating quantitative findings to diverse stakeholders while ensuring model governance and quality control.

Highest-signal resume keywords

SAS ProgrammingStatistical ModelingEconometric TechniquesData Quality ControlCloud-Based Analytics

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Statistical ModelingEconometric TechniquesRegression AnalysisLogistic RegressionSurvival AnalysisTime-Series AnalysisData TransformationModel ValidationPython ProgrammingR Programming

Soft Skills

Strong Communication SkillsCollaborationProblem-SolvingAttention to DetailTime Management

Tools & Technologies

AWS ServicesSASData Processing ToolsAnalytical Workloads

Certifications & Qualifications

CFAFRM

Industry Keywords

Financial ModelingMortgage-Backed SecuritiesConsumer CreditFixed-Income PortfoliosU.S. Housing FinanceSecondary Mortgage MarketsModel GovernanceAudit-Ready Documentation

Tech Stack

Tools & technologies

AWSCloudPython

About the role

Key responsibilities & impact

Develop, maintain, and enhance statistical, econometric, financial, and cash-flow models for complex financial assets and portfolios
Apply statistical and econometric techniques including ordinary least squares, logistic regression, survival analysis, time-series analysis, and predictive or behavioral modeling
Develop, review, troubleshoot, and maintain SAS code for production and research modeling processes
Collect, clean, transform, reconcile, validate, and integrate large datasets while assessing data quality, consistency, and completeness
Conduct model runs, scenario and sensitivity analyses, and quantitative research
Investigate anomalous results and resolve issues involving data, assumptions, methodology, code, or system configuration
Apply economic theory, financial-market concepts, academic research, and empirical analysis to model development
Execute analytical and modeling workloads in cloud environments with technology teams
Maintain documentation covering methodologies, assumptions, inputs, calculations, source data, code, controls, outputs, and conclusions
Support model testing, quality control, change management, reproducibility, and audit-readiness activities
Prepare tables, charts, research memoranda, technical documentation, presentations, and executive summaries
Present modeling approaches, findings, and technical issues to stakeholders with varying quantitative expertise
Collaborate across multidisciplinary teams while managing multiple priorities and deadlines

Requirements

What you’ll need

Must be able to obtain and maintain a Federal or DoD Public Trust; approved adjudication required prior to onboarding
Must be a U.S. Citizen and reside within the United States
Bachelor's degree in economics, finance, statistics, mathematics, data science, computer science, engineering, or another quantitative field
Five (5) to Seven (7) years of relevant experience in quantitative modeling, econometrics, financial analytics, or statistical programming
Strong hands-on SAS programming experience, including developing, understanding, maintaining, and troubleshooting SAS code and analytical workflows
Experience developing, executing, or enhancing statistical, econometric, financial, or cash-flow models involving complex financial assets or portfolios
Working knowledge of regression, logistic regression, survival analysis, time-series analysis, or comparable techniques
Experience with large and complex datasets, including preparation, transformation, reconciliation, validation, and quality control
Experience with an additional analytical or programming language, preferably Python or R
Ability to independently investigate and resolve modeling issues involving data, assumptions, methodology, code, and analytical results
Experience preparing technical and model documentation and communicating quantitative findings to technical and nontechnical audiences
Strong written and verbal communication skills and ability to work across multidisciplinary teams
Experience modeling mortgage, mortgage-backed securities (MBS), consumer credit, fixed-income, or other large financial-asset portfolios
Knowledge of mortgage performance concepts, including origination, delinquency, default, prepayment, buyout, foreclosure, and cash-flow behavior
Familiarity with U.S. housing finance and secondary mortgage markets, including Ginnie Mae, Fannie Mae, Freddie Mac, FHA, VA, or USDA programs
Experience supporting quantitative models in federal government, regulated financial services, or other security-sensitive environments
Experience with model governance, testing, validation, controlled releases, configuration and change management, and audit-ready documentation
Experience using AWS services or capabilities for data processing, analytical, or modeling workloads
CFA, FRM, or another relevant quantitative or financial professional credential

Benefits

Comp & perks

Medical, Rx, Dental & Vision Insurance
Personal and Family Sick Time & Company Paid Holidays
Position may be eligible for a discretionary variable incentive bonus
Parental Leave and Adoption Assistance
401(k) Retirement Plan
Basic Life & Supplemental Life
Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts
Short-Term & Long-Term Disability
Student Loan PayDown
Tuition Reimbursement, Personal Development & Learning Opportunities
Skills Development & Certifications
Employee Referral Program
Corporate Sponsored Events & Community Outreach
Emergency Back-Up Childcare Program
Mobility Stipend