At Freddie Mac, you will do important work to build a better housing finance system and you’ll be part of a team helping to make homeownership and rental housing more accessible and affordable across the nation.
Position Overview:
Are you ready for a challenge? If so, Freddie Mac’s Investments and Capital Markets division is searching for a top-notch candidate to join our Loan Portfolio Managing and Structuring (LPMS) group. Our new hire will be responsible for monitoring model performance, supporting portfolio management and hedging activities, providing transaction-related disclosure and ad-hoc analytics and reporting.
Our Impact:
Our team is responsible for management of Freddie Mac’s Non-Performing Loan (NPL) and Re-Performing Loan (RPL) portfolio. This includes forecasting, hedging, understanding model use and model validation, understanding servicing policy impact, analyzing portfolio disposition strategies, as well as using the following transactions to reduce credit and market risk exposure and capital:
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Seasoned Credit Risk Transfer (SCRT)
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Seasoned Loan Structured Transactions (SLST)
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NPL sale programs
Your Impact:
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Write programs to clean, coordinate and analyze large volumes of data.
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Make efficient use of the latest computing technologies to take advantage of big data and efficiently conduct analysis.
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Perform exploratory analysis and research and present results to both technical and non-technical audiences.
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Visualize data to communicate complex ideas.
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Work with modeling and model implementation team in the model development process; test and validate model updates and outputs; support ongoing model error tracking and monitoring activities.
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Utilize models, Workbench applications and other corporate tools to provide mortgage analytics for portfolio and transaction economics, hedging and pricing (loans and securities).
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Using market research, transaction and servicing data, research trends in various loan pool subsets and suggest potential factor dials.
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Work with Single Family on data due diligence requirements, data quality check, loan drop criteria, review loan tape and loan population, manage and/or support final investor loan tape creation and ensure its data quality, provide exhibits and analytics for investor presentations as needed.
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Adhoc analytics and reporting.
Qualifications:
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Doctor’s degree or Master’s degree with 3 years of equivalent experience in statistics, data science or a related quantitative field.
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Coursework or work experience applying predictive modeling techniques from data science, statistics, machine learning, and econometrics to large data sets. Qualifying coursework may include—but is not limited to—data science, statistics, machine learning, optimization, numerical analysis, scientific programming, computational methods, supervised learning, unsupervised learning, text mining, and image analysis.
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Coursework or work experience writing computer programs to implement data science pipelines and predictive algorithms. Programming languages may include—but are not limited to—Python, R, SQL, Java, SAS, and MATLAB.
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Coursework or work experience using technologies for manipulating structured and unstructured data.
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Good organizational and time management skills.
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Ability to work in a fast-paced trading desk environment and ability to deal with some degree of ambiguity.
Keys to Success in this Role:
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Attention to detail
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Strong ownership
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Standout colleague
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Self-motivated
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Ability to communicate well and great interpersonal skills
Current Freddie Mac employees please apply through the internal career site.
Today, Freddie Mac makes home possible for one in four home borrowers and is one of the largest sources of financing for multifamily housing. Join our smart, creative and dedicated team and you’ll do important work for the housing finance system and make a difference in the lives of others.
We are an equal opportunity employer and value diversity and inclusion at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by applicable law. We will ensure that individuals with differing abilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
CA Applicants: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
Notice to External Search Firms: Freddie Mac partners with BountyJobs for contingency search business through outside firms. Resumes received outside the BountyJobs system will be considered unsolicited and Freddie Mac will not be obligated to pay a placement fee. If interested in learning more, please visit www.BountyJobs.com and register with our referral code: MAC.
Time-type:Full time
FLSA Status:Exempt
Freddie Mac offers a comprehensive total rewards package to include competitive compensation and market-leading benefit programs. Information on these benefit programs is available on our Careers site.
This position has an annualized market-based salary range of $118,000 - $178,000 and is eligible to participate in the annual incentive program. The final salary offered will generally fall within this range and is dependent on various factors including but not limited to the responsibilities of the position, experience, skill set, internal pay equity and other relevant qualifications of the applicant.
Top Skills
What We Do
Freddie Mac is serving America’s homebuyers, homeowners and renters by financing the creation and preservation of more affordable homeownership and rental opportunities, providing liquidity, stability and affordability to the housing market. We are Making Home Possible for families across the nation.
