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Quantitative Analytics Jobs (NOW HIRING)

Analytics * Assess and enhance quantitative models used to estimate Probability of Default (PD), Loss Given Default (LGD), and Exposure at Default (EAD) for counterparties including banks, MIs, and ...

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Quantitative Analytics information

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$56.5K

$133.9K

$240K

How much do quantitative analytics jobs pay per year?

As of May 30, 2026, the average yearly pay for quantitative analytics in the United States is $133,877.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,500.00 and $145,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Quantitative Analyst, and why are they important?

To thrive as a Quantitative Analyst, you need strong mathematical, statistical, and programming skills, typically supported by a degree in finance, mathematics, statistics, or a related field. Familiarity with technical tools such as Python, R, MATLAB, SQL, and financial modeling software is commonly required. Analytical thinking, attention to detail, and effective communication help distinguish top performers in this role. These skills and qualities are crucial for developing accurate financial models and providing actionable insights that drive data-informed decision-making.

What are some common challenges faced by professionals in Quantitative Analytics, and how can they be addressed?

Professionals in Quantitative Analytics often face challenges such as managing large and complex data sets, staying updated with rapidly evolving analytical tools, and effectively communicating technical results to non-technical stakeholders. Addressing these challenges involves continual learning, collaborating closely with IT and data engineering teams, and developing strong presentation skills to translate quantitative findings into actionable business insights. Embracing cross-functional teamwork and ongoing professional development can help quantitative analysts thrive in their roles.

What is quantitative analytics?

Quantitative analytics is the practice of using mathematical models, statistical techniques, and computational tools to analyze data and make informed decisions, typically in finance, business, or risk management. Quantitative analysts, often called 'quants,' use these methods to develop trading strategies, assess risk, value financial instruments, and optimize investment portfolios. Their work combines expertise in mathematics, programming, and finance to solve complex problems and provide actionable insights for organizations.

What is the difference between Quantitative Analytics vs Data Analyst?

AspectQuantitative AnalyticsData Analyst
Required CredentialsDegree in Mathematics, Statistics, or related fields; often advanced certificationsBachelor's degree in Data Science, Statistics, or related fields; certifications like SQL or Excel skills
Work EnvironmentFinancial firms, investment banks, hedge funds, or tech companies focusing on complex data modelingBusiness, marketing, healthcare, or retail sectors analyzing data trends and reporting
Employer & Industry UsageUsed in finance, trading, risk management, and quantitative researchUsed across various industries for reporting, visualization, and basic data analysis

Quantitative Analysts focus on developing complex mathematical models to inform investment decisions and risk management, often requiring advanced degrees and specialized skills. Data Analysts typically handle data collection, cleaning, and basic analysis to generate reports and insights for business decisions. While both roles work with data, Quantitative Analytics involves more advanced statistical modeling and programming, primarily in finance and tech sectors, whereas Data Analysts focus on descriptive analytics across diverse industries.

More about Quantitative Analytics jobs
What cities are hiring for Quantitative Analytics jobs? Cities with the most Quantitative Analytics job openings:
What are the most commonly searched types of Quantitative Analytics jobs? The most popular types of Quantitative Analytics jobs are:
What states have the most Quantitative Analytics jobs? States with the most job openings for Quantitative Analytics jobs include:
Infographic showing various Quantitative Analytics job openings in the United States as of May 2026, with employment types broken down into 87% Full Time, 11% Part Time, and 2% Contract. Highlights an 83% Physical, 1% Hybrid, and 16% Remote job distribution, with an average salary of $133,877 per year, or $64.4 per hour.
Quantitative Analytics Tech Lead - Economic Modeling

Quantitative Analytics Tech Lead - Economic Modeling

Freddie Mac

Mclean, VA • On-site

Full-time

Posted 22 days ago


Job description

At Freddie Mac, our mission of Making Home Possible is what motivates us, and it's at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose.
Position Overview:
Freddie Mac's Investments & Capital Markets (I&CM) Division is seeking a Quantitative Analytics Tech Lead to join the Models & Analytics group to develop and enhance mortgage prepayment, default and severity models for portfolio management. The team is responsible for developing models and conducting quantitative analysis to support valuation and hedging of mortgage products.
Our Impact:
The Modeling and Analytics group in Freddie Mac's Investments and Capital Markets division develops financial and statistical models that are used for valuation and risk analytics purposes.
Your Impact:
Freddie Mac's Investments & Capital Markets (I&CM) Division is seeking a Quantitative Analytics Tech Lead to join the Models & Analytics group to develop and enhance mortgage prepayment, default and severity models for portfolio management. The team is responsible for developing models and conducting quantitative analysis to support valuation and hedging of mortgage products.
Our Impact:
The Modeling and Analytics group in Freddie Mac's Investments and Capital Markets division develops financial and statistical models that are used for valuation and risk analytics purposes.
Your Impact:
The successful candidate will contribute to the development of mortgage valuation model and conduct portfolio analysis to support trading and hedging activities.
Your Work Falls Into Four Primary Categories:
Model Development and Research
• Developing mortgage prepayment, default and severity models that assess market risk of mortgages, mortgage backed securities, and senior-sub structured products
• Applying statistical modeling and big data analytics tools and developing innovative solutions for forecasting mortgage borrower behavior
• Conducting research on industry models, market conditions, and regulatory environment.
Portfolio Analysis
• Developing and enhancing valuation processes and risk metrics for our retained portfolio of mortgage products.
• Conducting sensitivity analysis and impact assessment for model updates and changes in model inputs.
Model Governance
• Preparing model documentation and conducting thorough model validation tests.
• Developing on-going performance monitoring and threshold methodology.
Business Support
• Providing analytics support for trading and hedging activities.
• Working under limited direction, independently determining and developing approach to solutions.
Qualifications:
  • Doctorate degree plus 3 years of working experience (or Master's degree with equivalent 5 years of working experience) in statistics, data science or a related quantitative field.
  • 5+ years of relevant experience applying predictive modeling techniques or data analytics to large datasets is preferred.
  • Post-graduate work experience in mortgage valuation and statistical modeling
  • Programming skills in one or more of Python, R, SAS or related languages
  • Exceptional quantitative, empirical analysis, and research skills
  • Experience working with large data sets and relational database
  • Experience in statistical model development and implementation is preferred

Keys to Success in this Role:
• Exceptional quantitative, empirical analysis, and research skills
• Strong knowledge of survival analysis and mortgage valuation
• Strong programming skills and knowledge in big data analytics such as Apache Spark and AWS cloud computing
Top 3 Personal Competencies to Possess:
• Drive for Execution - Execute effectively with a clear direction and objective, good ownership
• Partnership - Build trust and strong partnerships within the team; good team player
• Leadership - Set and execute upon a clear vision and goals; good communication, interpersonal, and leadership skills
Current Freddie Mac employees please apply through the internal career site.
We consider all applicants for all positions without regard to gender, race, color, religion, national origin, age, marital status, veteran status, sexual orientation, gender identity/expression, physical and mental disability, pregnancy, ethnicity, genetic information or any other protected categories under applicable federal, state or local laws. We will ensure that individuals are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
A safe and secure environment is critical to Freddie Mac's business. This includes employee commitment to our acceptable use policy, applying a vigilance-first approach to work, supporting regulatory mandates, and using best practices to protect Freddie Mac from potential threats and risk. Employees exercise this responsibility by executing against policies and procedures and adhering to privacy & security obligations as required via training programs.
CA Applicants: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
Notice to External Search Firms: Freddie Mac partners with BountyJobs for contingency search business through outside firms. Resumes received outside the BountyJobs system will be considered unsolicited and Freddie Mac will not be obligated to pay a placement fee. If interested in learning more, please visit www.BountyJobs.com and register with our referral code: MAC.
Time-type:Full time
FLSA Status:Exempt
Freddie Mac offers a comprehensive total rewards package to include competitive compensation and market-leading benefit programs. Information on these benefit programs is available on our Careers site.
This position has an annualized market-based salary range of $144,000 - $216,000 and is eligible to participate in the annual incentive program. The final salary offered will generally fall within this range and is dependent on various factors including but not limited to the responsibilities of the position, experience, skill set, internal pay equity and other relevant qualifications of the applicant.

Freddie Mac logo

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