Quantitative Analytics Manager (Hybrid - 3 Days in Office - VA)

$140,000 - $210,000/Yr

Freddie Mac - McLean, VA

Full-time - Senior

Hybrid - McLean, VA

Credit Intermediation and Related Activities

About the position

As a Quantitative Analytics Manager at Freddie Mac, you will play a crucial role in enhancing the housing finance system by developing and managing quantitative models and analytics. This position focuses on supporting decision-making and risk management within the Multifamily business, which encompasses over $450 billion in assets. You will tackle complex business challenges using advanced quantitative techniques, collaborate across teams, and ensure compliance with model risk governance and regulatory requirements.

Responsibilities

• Lead quantitative research, data science, and modeling initiatives focused on multifamily credit risk, market risk, economic capital, and valuation analytics.
• Drive analytical innovations to enhance multifamily business efficiency, optimize operations, and strengthen risk management strategies.
• Design and develop methodologies for credit risk analysis of the Multifamily portfolio and related securities.
• Develop and implement statistical models using common programming languages, create model prototypes for testing and specification, and modify existing program source code as needed.
• Utilize quantitative skills, including data science and financial/statistical modeling, to offer analytical support across various multifamily business functions.
• Create technical documentation to support both internal and external reviews.
• Support model governance activities to ensure full compliance with regulatory and corporate standards.

Requirements

• College Degree or equivalent experience; advanced studies/degree preferred.
• Typically has 8-10 years related experience and 2+ years management experience.
• Demonstrated experience in risk management and risk mitigation, preferably in credit risk.
• Familiarity with programming languages such as Python, SQL, SAS, R, MATLAB.
• Familiarity with model lifecycle management including development, validation, execution, and monitoring.
• Strong analytical and conceptual problem-solving skills with a high level of attention to detail.
• Excellent interpersonal and communication skills, particularly written communication skills.
• Self‐motivated, with the capability of managing multiple priorities and efficient in proposing solutions.

Nice-to-haves

• Experience in time series econometrics, particularly for economic and financial forecasting.

Benefits

• Competitive compensation and market-leading benefit programs.
• Annual incentive program participation.