Senior Quantitative Analytics

Job Title: Senior Quantitative Analytics / Quantitative Developer
Location: Mclean, VA (Fully Onsite)
Duration: Contract TO HIRE
Job id – 176535

Position Overview:
Are you curious, analytical, and driven to solve complex real-world problems with quantitative rigor? Freddie Mac’s Multifamily Modeling team within Multifamily Portfolio and Risk Management is seeking a Quantitative Analytics Senior to independently develop quantitative models, deliver advanced analytics, and design methodologies that support decision-making and risk management for the $450Bn+ Multifamily business.

Our Impact:
Drive quantitative research and modeling to support multifamily credit risk, economic capital, risk rating, and costing/pricing analytics.
Innovate analytical approaches to improve efficiency, insight, and risk management outcomes.
Ensure models and methodologies meet internal governance and external regulatory standards.

Your Impact:
Design and implement quantitative methodologies for credit risk analysis of the Multifamily portfolio and related securities.
Develop, test, and maintain statistical and simulation models using modern programming languages and tools.
Independently perform data analysis, model prototyping, validation, and sensitivity testing, with limited guidance.
Provide analytical support to multifamily business partners, risk management, and other internal stakeholders.
Translate complex model results into clear insights and recommendations for technical and non-technical audiences.
Contribute to model governance activities, including documentation, testing, validation support, and audit/regulatory responses.
Manage assigned projects and deliverables, communicating progress, risks, and findings clearly and proactively.

Qualifications:
PhD in economics, finance, statistics, or a related quantitative discipline, or Master’s degree with 3+ years of relevant experience.
Strong expertise in predictive modeling, econometrics, optimization, machine learning, and/or Monte Carlo simulation methods.
Proficiency in one or more programming languages such as Python, R, C++, SQL, or SAS.
Demonstrated experience designing stochastic processes, modeling risk drivers, and validating simulation outputs.
Experience with financial modeling, model development, and analytics in a regulated or risk-focused environment.
Ability to translate business questions into well-structured analytical and modeling solutions.
Strong ability to work independently, prioritize work, and deliver high-quality results under limited supervision.
Knowledge of financial services, mortgage finance, or structured finance is preferred.

Keys to Success in this Role:
Strong ownership mindset with the ability to independently drive work to completion.
Intellectual curiosity and disciplined problem-solving approach.
Attention to detail while maintaining awareness of broader business and risk context.
Strong coding, analytical, and statistical skills with a bias toward practical implementation.
Ability to defend modeling assumptions, justify methodological choices, and communicate results clearly.
Collaborative and professional approach when working with cross-functional partners.


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Pay Range: $70-75/hr.
The specific compensation for this position will be determined by several factors, including the scope, complexity, and location of the role, as well as the cost of labor in the market; the skills, education, training, credentials, and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits, including medical, dental, vision, and 401K contributions, as well as PTO, sick leave, and other benefits mandated by applicable state or localities where you reside or work.
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