Multifamily Capital Markets Senior, CRT Analytics
Freddie MacAbout 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.
Position Overview:
As a Freddie Mac Professional within Multifamily (“MF”) Capital Markets, you’ll get the experience to understand and manage Multifamily’s credit, market, and liquidity risk. In this premier program, you’ll gain exposure and directly contribute to the strategies that affect the affordability and stability of the U.S. housing market.
Through rigorous risk and quantitative analyses, you will play a key role in influencing the nation’s largest multifamily housing lender. The Multifamily division provides essential liquidity to the rental housing mortgage market nationwide, supporting Freddie Mac’s mission to promote affordable housing for a diverse range of renters. Apply now to discover why there’s #MoreAtFreddieMac!
Our Impact:
Since 2009, Multifamily Capital Markets has been a leader in Credit Risk Transfer (CRT), pioneering the development of innovative capital markets products that effectively transfer credit risk while enhancing market liquidity. Our portfolio includes senior subordinate securitized products, such as those within the K-deal suite, as well as CRT products like MSCR and MCIP. These transactions play a critical role in safeguarding Freddie Mac and taxpayers by mitigating risk during economic downturns while also improving operational efficiency by optimizing capital requirements.
Your Impact:
In this role, you will be an integral part of the CRT Analytics Team and will be expected to:
Develop an understanding of commercial real estate (CRE) finance and fixed-income markets, including macroeconomic trends, multifamily mortgage regulations, competitive dynamics, and relative value analysis across various capital markets executions.
Develop enhanced analytics to look at different risk transfer structures and understand risk adjusted returns under different frameworks
Generate Weekly/Monthly/Quarterly portfolio/risk forecasts based on pipeline forecasts and other risk metrics
Identify emerging trends in new business and in our portfolio related to credit and market risk evaluations and work with the team to devise new products/structures to optimize risk adjusted returns
Qualifications:
Bachelor’s degree or Master’s degree in Finance, STEM, Math or related discipline; work towards advanced studies/degree preferred
At least 5 - 7 years of experience in fixed income securities and mortgage related products
Being able to use programming language, e.g., Python, SAS, SQL for reporting /data analysis
Ability to translate sophisticated financial data into relevant analysis and presentations
Excellent communication and interpersonal skills
Experience with cashflow modeling, structuring and ERCF capital framework preferred
Keys to Success in this Role:
Intellectually curious and strong attention to details and be able to multi-task
Reliable, dependable, diligent, and organized with good time management skills
Prior work experience in Financial Services Industry
Results-oriented, creative, and forward-thinking problem-solver with a can- do demeanor and ability to deliver business value quickly and with quality
Ability to understand and communicate well
Ability to work in a dynamic, constantly evolving business environment
Demonstrated problem solving skills and solution development
Current Freddie Mac employees please apply through the internal career site.
We consider all applicants for all positions without regard to gender, race, color, religion, national origin, age, marital status, veteran status, sexual orientation, gender identity/expression, physical and mental disability, pregnancy, ethnicity, genetic information or any other protected categories under applicable federal, state or local laws. We will ensure that individuals are provided
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