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Quantitative Analytics Jobs (NOW HIRING)

We are seeking a Quantitative Analytics Professional who will be responsible for engaging the key Multifamily business partners to ensure the reasonableness and consistency of quantitative models ...

Quantitative Analytics Senior

Mclean, VA · On-site

$126K - $190K/yr

Freddie Mac's Single Family Division is currently seeking an Quantitative Analytics senior. In this role, you will be responsible for the development and execution of quantitative analytic models and ...

The Lead Quantitative Analytics Associate leverages advanced mathematical knowledge and analysis to provide solutions to predictive and prescriptive questions such as "What will happen next?" and ...

Quantitative Analytics Senior

Mclean, VA · On-site

$126K - $190K/yr

Freddie Mac's Single Family Division is currently seeking an Quantitative Analytics senior. In this role, you will be responsible for the development and execution of quantitative analytic models 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 Jul 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 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 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 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:
What job categories do people searching Quantitative Analytics jobs look for? The top searched job categories for Quantitative Analytics jobs are:
Infographic showing various Quantitative Analytics job openings in the United States as of July 2026, with employment types broken down into 95% Full Time, 3% Part Time, and 2% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $133,877 per year, or $64.4 per hour.

Quantitative Analytics Professional

Freddie Mac

Mclean, VA • On-site

$105K - $157K/yr

Full-time

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


Freddie Mac rating

9.2

Company rating: 9.2 out of 10

Based on 5 frontline employees who took The Breakroom Quiz


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. Continue your career journey where your work contributes to a greater purpose.

Position Overview:

Are you passionate about data? Are you curious and analytical? Do you thrive on working in a team environment?

Freddie Mac's Multifamily Portfolio and Risk Management team needs creative, forward-thinking individuals like you! We are seeking a Quantitative Analytics Professional who will be responsible for engaging the key Multifamily business partners to ensure the reasonableness and consistency of quantitative models, analytics and methodologies used in risk management and decision making in Multifamily business.

Our Impact:

We are the owners and developers of all major Multifamily credit, market risk and business decision models/tools. Our goal is to develop and apply all quantitative models and advanced data science tools to facilitate Multifamily risk management and optimize portfolio strategies.

Our team is also responsible for Multifamily data analytics, regulatory capital, stress testing and business initiatives. This is an increasingly critical role given our focus on safety and soundness in multifamily business as well as the emerging risk management under the dynamical market environment.

Your Impact:
  • Lead efforts on data strategy, analytical tool design, and uses of Multifamily models; provide thoughtful inputs on development of Multifamily data, advanced analytics, and model assumptions/methodology.

  • Lead best practices and improvement of Multifamily data management and analytical products to ensure adherence to industry standards and regulatory compliances.

  • Collaborate with cross-functional teams to implement data strategy and enhance data uses and data-driven culture.

  • Design and implement viable analytical tools/applications, data research and integrated reporting platforms for Multifamily management, business users and risk managers.

  • Actively build and engage data science & engineering community through effective communication and leadership.

  • Respond quickly with a small team to urgent data analysis requests.

  • Build strong productive relationship with various stakeholders across three lines of risk governance.

Qualifications:
  • Master's degree in data science, statistics, mathematics, computer science or a related quantitative field.

  • Coursework or work experience applying predictive modeling techniques from data science, statistics, machine learning, and econometrics to large data sets. Qualifying coursework may include -but is not limited to-data science, statistics, machine learning, optimization, numerical analysis, scientific programming, computational methods, supervised learning, unsupervised learning, text mining, and image analysis.

  • Demonstrated experience and expertise in quantitative data management, financial model development, credit risk evaluation and model risk management.

  • Proficiency in programming languages such as Python, SQL or Unix

  • Experience working with large data sets and relational database

  • Strong analytical and problem-solving skills with a high level of attention to details.

  • Strong interpersonal and communication skills, particularly written communication skills.

  • Selfmotivated, with the capability of managing multiple priorities and efficient in proposing solutions.

Keys to Success in this Role:

  • Data-oriented mindset.

  • Intellectual agility and interpersonal flexibility.

  • Strong time-management, planning, and communication skills.

  • Extensive knowledge and experience in data-driven solutions, analytics, and software development.

  • Ability to work with and collaborate across teams and where silos exist.

  • Skilled and innovative problem solver.

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.

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 $105,000 - $157,000 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.Employment Type: FULL_TIME

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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