Summer 2027 Multifamily Portfolio Analytics Intern

Freddie Mac; McLean (VA); On-site; USD 64,000 - 83,000; Full time

Benefits offered by this job

Hourly pay

Job summary

Freddie Mac Multifamily is seeking a Graduate Intern in Portfolio and Risk Management to work on modeling, portfolio analytics, and credit analytics. You will support monitoring, risk assessment, and integrated risk management across the portfolio while collaborating with colleagues and senior leadership.

This paid internship runs May through August 2027 in McLean, VA, offering exposure to real estate finance, data modeling, and cross-functional teamwork, with guidance from experienced

Qualifications

• Pursuing Master’s degree in Finance, Quantitative Analytics, Math/Statistics, Economics, or a related discipline
• Graduation date between December 2027 – May 2028
• Availability to work May – August 2027

Responsibilities

• Based on your intern role, you will leverage portfolio data and models to assist in the monitoring and assessment of portfolio performance, credit trends
• You will assist with ensuring our credit, portfolio and risk management capabilities have an integrated risk management approach across the portfolio
• You will interact with all levels of employees including senior management on various projects
• You will build relationships across the organization to assist with customer partnerships

Skills

Microsoft Office

Portfolio data analysis

Education

Master’s degree in Finance, Quantitative Analytics, Math/Statistics, Economics, or related discipline

Graduation date Dec 2027 – May 2028

Availability May–Aug 2027

Job description

Freddie Mac Multifamily is seeking a Graduate Intern in Portfolio and Risk Management to work on modeling, portfolio analytics, and credit analytics. You will support monitoring, risk assessment, and integrated risk management across the portfolio while collaborating with colleagues and senior leadership.

This paid internship runs May through August 2027 in McLean, VA, offering exposure to real estate finance, data modeling, and cross-functional teamwork, with guidance from experienced