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Quantitative Analytics Professional

Freddie Mac

Mclean, VA
Full Time
Mid Level
101k-151k
12 days ago

Job Description

About the Role

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. The role involves engaging with key Multifamily business partners to ensure the reasonableness and consistency of quantitative models, analytics, and methodologies used in risk management and decision making within the Multifamily business. The team develops and applies quantitative models and advanced data science tools to facilitate risk management, optimize portfolio strategies, and support regulatory and business initiatives.

Key Responsibilities

  • 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 relationships with various stakeholders across three lines of risk governance.

Requirements

  • 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.
  • Demonstrated experience and expertise in quantitative data management, financial model development, credit risk evaluation and model risk management.
  • Strong analytical and problem-solving skills with a high level of attention to details.
  • Strong interpersonal and communication skills, particularly written communication skills.
  • Self-motivated, with the capability of managing multiple priorities and efficient in proposing solutions.

Nice to Have

  • 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.

Qualifications

  • Educational background including a master's degree in relevant quantitative fields.

Benefits & Perks

  • Competitive compensation and market-leading benefit programs.
  • Participation in an annual incentive program.
  • Comprehensive total rewards package.

Working at Freddie Mac

Freddie Mac values a safe and secure environment, employee commitment to policies and procedures, and a vigilance-first approach to work. The organization supports regulatory mandates, privacy, and security obligations, and promotes a collaborative, data-driven culture focused on safety, soundness, and innovation.

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Job Details

Posted AtJul 14, 2025
Job CategoryData Science
Salary101k-151k
Job TypeFull Time
ExperienceMid Level

Job Skills

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About Freddie Mac

Website

freddiemac.com

Company Size

5001-10000 employees

Location

Mclean, VA

Industry

Other Activities Related to Credit Intermediation

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