They are seeking a Quantitative Risk Analysis Tech Lead to bridge the gap between business ... ML models is helpful Company : Freddie Mac is a public government-sponsored enterprise that ...
They are seeking a Quantitative Risk Analysis Tech Lead to bridge the gap between business ... ML models is helpful Company : Freddie Mac is a public government-sponsored enterprise that ...
Quantitative modeling, statistical coding (R/SAS), data visualization. Competencies Required * Analytical rigor, precision, communication. Ancillary Details Of The Roles * Develops KPIs for ...
Quantitative modeling, statistical coding (R/SAS), data visualization. Competencies Required * Analytical rigor, precision, communication. Ancillary Details Of The Roles * Develops KPIs for ...
Senior Manager, Decision Science
Mclean, VA · Hybrid
$97K - $224K/yr
Monitor performance of quantitative models and support independent model validation efforts in accordance with the model governance policy. * Participate in identification, measurement, and ...
Senior Manager, Decision Science
Mclean, VA · Hybrid
$97K - $224K/yr
Monitor performance of quantitative models and support independent model validation efforts in accordance with the model governance policy. * Participate in identification, measurement, and ...
Credit Risk Model Development Quantitative Analyst II - Consumer Portfolio (Hybrid - see job desc...
Bachelor's degree and a minimum of 1 years' proven quantitative behavioral modeling experience, or in lieu of a degree, a combined minimum of 5 years' higher education and/or work experience ...
Credit Risk Model Development Quantitative Analyst II - Consumer Portfolio (Hybrid - see job desc...
Bachelor's degree and a minimum of 1 years' proven quantitative behavioral modeling experience, or in lieu of a degree, a combined minimum of 5 years' higher education and/or work experience ...
Credit Risk Model Development Quantitative Analyst II - Consumer Portfolio (Hybrid - see job desc...
Bachelor's degree and a minimum of 1 years' proven quantitative behavioral modeling experience, or in lieu of a degree, a combined minimum of 5 years' higher education and/or work experience ...
Credit Risk Model Development Quantitative Analyst II - Consumer Portfolio (Hybrid - see job desc...
Bachelor's degree and a minimum of 1 years' proven quantitative behavioral modeling experience, or in lieu of a degree, a combined minimum of 5 years' higher education and/or work experience ...
Associate or Senior Associate, Investment and Portfolio Analysis
Bethesda, MD · On-site
$95K - $105K/yr
Strong quantitative modeling and analytical skills * Ability to synthesize financial data into clear reports and presentations * Advanced proficiency in Microsoft Office, experience in financial ...
Associate or Senior Associate, Investment and Portfolio Analysis
Bethesda, MD · On-site
$95K - $105K/yr
Strong quantitative modeling and analytical skills * Ability to synthesize financial data into clear reports and presentations * Advanced proficiency in Microsoft Office, experience in financial ...
Develop quantitative supplier risk scoring models, criticality assessments, and risk segmentation frameworks using statistical and machine learning methods. * Apply NLP and text analytics to extract ...
Develop quantitative supplier risk scoring models, criticality assessments, and risk segmentation frameworks using statistical and machine learning methods. * Apply NLP and text analytics to extract ...
Senior Quantitative Scientist
$94K - $129K/yr
Strong quantitative skills including familiarity with modeling and data analysis. Familiarity with ... software such as R, Python, GitHub and GIS and with open science concepts. * Ability to manage ...
Senior Quantitative Scientist
$94K - $129K/yr
Strong quantitative skills including familiarity with modeling and data analysis. Familiarity with ... software such as R, Python, GitHub and GIS and with open science concepts. * Ability to manage ...
Senior Quantitative Scientist
Silver Spring, MD · On-site
$94K - $129K/yr
Strong quantitative skills including familiarity with modeling and data analysis. Familiarity with ... software such as R, Python, GitHub and GIS and with open science concepts. * Ability to manage ...
Quick apply
Senior Quantitative Scientist
Silver Spring, MD · On-site
$94K - $129K/yr
Strong quantitative skills including familiarity with modeling and data analysis. Familiarity with ... software such as R, Python, GitHub and GIS and with open science concepts. * Ability to manage ...
Associate or Senior Associate, Investment and Portfolio Analysis
Bethesda, MD · On-site
$95K - $105K/yr
Strong quantitative modeling and analytical skills * Ability to synthesize financial data into clear reports and presentations * Advanced proficiency in Microsoft Office, experience in financial ...
Quick apply
Associate or Senior Associate, Investment and Portfolio Analysis
Bethesda, MD · On-site
$95K - $105K/yr
Strong quantitative modeling and analytical skills * Ability to synthesize financial data into clear reports and presentations * Advanced proficiency in Microsoft Office, experience in financial ...
Senior Director, Model Risk
Sterling, VA · On-site
Strong knowledge of quantitative modeling techniques, statistical analysis, and risk management principles. * In-depth understanding of regulatory requirements, industry guidelines, and best ...
Senior Director, Model Risk
Sterling, VA · On-site
Strong knowledge of quantitative modeling techniques, statistical analysis, and risk management principles. * In-depth understanding of regulatory requirements, industry guidelines, and best ...
Supply Chain Risk Management (SCRM) Data Lead - (Clearance Required)
Washington, DC · On-site
$120K - $185K/yr
Develop quantitative supplier risk scoring models, criticality assessments, and risk segmentation frameworks using statistical and machine learning methods. * Apply NLP and text analytics to extract ...
Supply Chain Risk Management (SCRM) Data Lead - (Clearance Required)
Washington, DC · On-site
$120K - $185K/yr
Develop quantitative supplier risk scoring models, criticality assessments, and risk segmentation frameworks using statistical and machine learning methods. * Apply NLP and text analytics to extract ...
Develop quantitative supplier risk scoring models, criticality assessments, and risk segmentation frameworks using statistical and machine learning methods. * Apply NLP and text analytics to extract ...
Develop quantitative supplier risk scoring models, criticality assessments, and risk segmentation frameworks using statistical and machine learning methods. * Apply NLP and text analytics to extract ...
Freddie Mac's Single-Family Modeling organization is seeking a Quantitative Analytics Tech Lead to join the Single-Family Model Strategy Team. This role focuses on house price modeling, and is ...
Freddie Mac's Single-Family Modeling organization is seeking a Quantitative Analytics Tech Lead to join the Single-Family Model Strategy Team. This role focuses on house price modeling, and is ...
Supply Chain Risk Management (SCRM) Data Lead - (Clearance Required)
Washington, DC · On-site
$120K - $185K/yr
Develop quantitative supplier risk scoring models, criticality assessments, and risk segmentation frameworks using statistical and machine learning methods. * Apply NLP and text analytics to extract ...
Supply Chain Risk Management (SCRM) Data Lead - (Clearance Required)
Washington, DC · On-site
$120K - $185K/yr
Develop quantitative supplier risk scoring models, criticality assessments, and risk segmentation frameworks using statistical and machine learning methods. * Apply NLP and text analytics to extract ...
Post-Doctoral Associate
College Park, MD · On-site
$70K - $80K/yr
Research may involve quantitative modeling (e.g., GCAM), empirical methods, qualitative/mixed methods, or analyses of energy systems, land use, and climate forcers shaping policy debates. Physical ...
Post-Doctoral Associate
College Park, MD · On-site
$70K - $80K/yr
Research may involve quantitative modeling (e.g., GCAM), empirical methods, qualitative/mixed methods, or analyses of energy systems, land use, and climate forcers shaping policy debates. Physical ...
Post-Doctoral Associate
College Park, MD · Hybrid
$70K - $80K/yr
Research may involve quantitative modeling (e.g., GCAM), empirical methods, qualitative/mixed methods, or analyses of energy systems, land use, and climate forcers shaping policy debates. Physical ...
Post-Doctoral Associate
College Park, MD · Hybrid
$70K - $80K/yr
Research may involve quantitative modeling (e.g., GCAM), empirical methods, qualitative/mixed methods, or analyses of energy systems, land use, and climate forcers shaping policy debates. Physical ...
Associate Consultant, Infrastructure Resilience
Washington, DC · On-site
$58K - $101K/yr
Support quantitative modeling of exposure, vulnerability, risks, and resilience associated with natural hazards and long-term climate change considerations for a range of clients in infrastructure ...
Associate Consultant, Infrastructure Resilience
Washington, DC · On-site
$58K - $101K/yr
Support quantitative modeling of exposure, vulnerability, risks, and resilience associated with natural hazards and long-term climate change considerations for a range of clients in infrastructure ...
Data Scientist I
Chantilly, VA · On-site
Evaluate system- and enterprise-level tradeoffs using quantitative methods, simulation outputs, and mission modeling tools. * Support enterprise integration activities by translating complex analytic ...
Data Scientist I
Chantilly, VA · On-site
Evaluate system- and enterprise-level tradeoffs using quantitative methods, simulation outputs, and mission modeling tools. * Support enterprise integration activities by translating complex analytic ...
Evaluate system- and enterprise-level tradeoffs using quantitative methods, simulation outputs, and mission modeling tools. * Support enterprise integration activities by translating complex analytic ...
Evaluate system- and enterprise-level tradeoffs using quantitative methods, simulation outputs, and mission modeling tools. * Support enterprise integration activities by translating complex analytic ...
Quantitative Modeling information
See Washington salary details
$111K - $127.6K
15% of jobs
$127.6K - $144.3K
7% of jobs
$149.4K is the 25th percentile. Wages below this are outliers.
$144.3K - $160.9K
9% of jobs
$160.9K - $177.5K
14% of jobs
The median wage is $185.1K / yr.
$177.5K - $194.1K
12% of jobs
$194.1K - $210.8K
14% of jobs
$217.6K is the 75th percentile. Wages above this are outliers.
$210.8K - $227.4K
12% of jobs
$227.4K - $244K
7% of jobs
$244K - $260.7K
5% of jobs
$260.7K - $277.3K
5% of jobs
$277.3K - $293.9K
0% of jobs
$111K
$192.2K
$293.9K
How much do quantitative modeling jobs pay per year?
As of Jul 15, 2026, the average yearly pay for quantitative modeling in Washington 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 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.
What are the most commonly searched types of Quantitative Modeling jobs in Washington? The most popular types of Quantitative Modeling jobs in Washington are:
What are popular job titles related to Quantitative Modeling jobs in Washington? For Quantitative Modeling jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Quantitative Modeling jobs in Washington look for? The top searched job categories for Quantitative Modeling jobs in Washington are:
Full-time
Posted 19 days ago
Job description
Job Summary:
Freddie Mac is committed to making home possible for families across the country. They are seeking a Quantitative Risk Analysis Tech Lead to bridge the gap between business stakeholders and data teams, focusing on delivering high-quality sampling and reporting services. The role involves leading technical development, modernizing workflows, and driving analytics initiatives to enhance risk management processes.
Responsibilities:
• Drive modernization of sampling, reporting, and analytics workflows by identifying opportunities to simplify, automate, and scale existing processes and tools.
• Shape technical approaches and analytical frameworks for new initiatives, ensuring solutions are practical, scalable, and aligned with business priorities and risk management objectives.
• Lead development and governance of the team’s overall sampling codebase and related technical assets across SAS, SQL, Python, Snowflake and UNIX-based workflows.
• Partner closely with Single-Family data and technology teams to define data requirements, resolve issues, and build sustainable data solutions that bridge legacy and modern QC systems.
• Support peer technical code reviews for the team and ad hoc analytics for leadership.
Qualifications:
Required:
• Doctorate degree plus 3 years of working experience (or Master's degree with 5 years of equivalent work experience) in quantitative finance, statistics or a related quantitative field of studies.
• 7+ years of relevant professional experience, preferably 5+ years recent experience in mortgage or financial services industries
• 5+ years recent experience with analyzing large datasets using a combination of SQL and SAS/Python/R.
Preferred:
• 3+ years recent experience with data visualization tools such as Tableau (preferred to include server/site administration) and/or Power BI
• Knowledge of standard processes and risk controls around data and analytics is a must; DBA experience with cloud databases such as Snowflake is preferred
• Knowledge of and experience with statistical modeling and/or AI/ML models is helpful
Company:
Freddie Mac is a public government-sponsored enterprise that provides mortgage capital to lenders. Founded in 1970, the company is headquartered in Mclean, USA, with a team of 5001-10000 employees. The company is currently Late Stage.
Freddie Mac is committed to making home possible for families across the country. They are seeking a Quantitative Risk Analysis Tech Lead to bridge the gap between business stakeholders and data teams, focusing on delivering high-quality sampling and reporting services. The role involves leading technical development, modernizing workflows, and driving analytics initiatives to enhance risk management processes.
Responsibilities:
• Drive modernization of sampling, reporting, and analytics workflows by identifying opportunities to simplify, automate, and scale existing processes and tools.
• Shape technical approaches and analytical frameworks for new initiatives, ensuring solutions are practical, scalable, and aligned with business priorities and risk management objectives.
• Lead development and governance of the team’s overall sampling codebase and related technical assets across SAS, SQL, Python, Snowflake and UNIX-based workflows.
• Partner closely with Single-Family data and technology teams to define data requirements, resolve issues, and build sustainable data solutions that bridge legacy and modern QC systems.
• Support peer technical code reviews for the team and ad hoc analytics for leadership.
Qualifications:
Required:
• Doctorate degree plus 3 years of working experience (or Master's degree with 5 years of equivalent work experience) in quantitative finance, statistics or a related quantitative field of studies.
• 7+ years of relevant professional experience, preferably 5+ years recent experience in mortgage or financial services industries
• 5+ years recent experience with analyzing large datasets using a combination of SQL and SAS/Python/R.
Preferred:
• 3+ years recent experience with data visualization tools such as Tableau (preferred to include server/site administration) and/or Power BI
• Knowledge of standard processes and risk controls around data and analytics is a must; DBA experience with cloud databases such as Snowflake is preferred
• Knowledge of and experience with statistical modeling and/or AI/ML models is helpful
Company:
Freddie Mac is a public government-sponsored enterprise that provides mortgage capital to lenders. Founded in 1970, the company is headquartered in Mclean, USA, with a team of 5001-10000 employees. The company is currently Late Stage.
About Freddie Mac
Sourced by ZipRecruiter
Today, Freddie Mac makes home possible for one in four home borrowers and is one of the largest sources of financing for multifamily housing. Join our smart, creative and dedicated team and you'll do important work for the housing finance system and make a difference in the lives of others.
Industry
Finance and insurance
Company size
5,001 - 10,000 Employees
Headquarters location
McLean, VA, US
Year founded
1970