Multifamily Underwriting Analyst — Credit Risk & Insights

Freddie Mac; Irvine (CA); On-site; USD 68,000 - 102,000; Full time

Job summary

Freddie Mac Multifamily Underwriting team in Irvine, CA seeks an analytical professional who is a fast learner, strong with numbers, and capable of communicating clearly with internal and external partners.

The role focuses on underwriting conventional multifamily loans, building toward credit approval and closing, preparing Investment Briefs for loan approval and commitment, and applying policy and data-driven analysis under tight deadlines.

Qualifications

• Bachelor’s degree in real estate, finance, economics, business administration, or related field.
• 1 to 3 years of related work experience in the commercial/multifamily real estate industry.
• Knowledge of real estate property fundamentals and real estate lending/underwriting
• Strong written and verbal communication skills
• Ability to travel domestically

Responsibilities

• Build toward credit approval and closing individual mortgage loans collateralized by multifamily properties
• Accurately prepare concise, complete, and clear Investment Briefs for loan approval and loan commitment
• Apply company principles/policies and critical thought to complete assigned tasks accurately, completely, and in a timely manner
• Collaborate and communicate with external and internal business partners to solve problems and achieve shared success

Skills

Real estate knowledge

Credit analysis

Communication skills

Education

Bachelor’s degree in real estate, finance, economics, business administration, or related field

Job description

Freddie Mac Multifamily Underwriting team in Irvine, CA seeks an analytical professional who is a fast learner, strong with numbers, and capable of communicating clearly with internal and external partners.

The role focuses on underwriting conventional multifamily loans, building toward credit approval and closing, preparing Investment Briefs for loan approval and commitment, and applying policy and data-driven analysis under tight deadlines.