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Position Overview:
Freddie Mac oversees a single-family mortgage portfolio exceeding $3 trillion. The Mortgage Asset and Risk Transfer (MA&RT) Department is tasked with developing and executing asset acquisition and risk transfer strategies to optimize business results within the limits set by Freddie Mac’s Board and management.
We are seeking a Quantitative Analytics Senior to join the Credit Risk Transfer Team! Apply now to learn more.
Our Impact:Financial models are crucial for informed decision-making across Freddie Mac’s divisions and departments. Model Business Owners (MBOs) work closely with stakeholders—including Model Development Owners (MDOs), model users, Model Implementation Owners (MIOs), model validators, and senior management—to align modeling research and development with business objectives, prioritize initiatives, and ensure compliance with Freddie Mac’s model risk standards.
The Modeling and CRT Analytics team supports MA&RT executives and acts as the MBO delegate for key models, including those for prepayment, credit, capital forecasts, spread risk capital, and CRT valuations, etc.. Additionally, the team manages model applications to evaluate the economics of Credit Risk Transfer (CRT) transactions, both new and seasoned, and oversees a CRT portfolio of approximately $45 billion.
Through data-driven research, the team supports executive decision-making by proposing modeling strategies that enhance the utilization of key financial models in business decision-making.
Your Impact:Serve as or support the MBO delegate across multiple financial models, collaborating with MDOs and key users to ensure models fulfill business requirements. Act as a liaison with stakeholders (e.g., MDOs, key model users, MIOs, model validators), conduct quantitative research to understand model assumptions and limitations, and evaluate their impact on business decisions. Recommend solutions to enhance model performance (including model overlays, when necessary) and address business needs. Evaluate model performance in relation to business objectives and ensure adherence to model risk policies and standards.
Perform benchmarking analysis for key models using internal/external benchmarks and historical data.
Develop and implement analytical tools to support risk transfer transactions, such as STACR and ACIS, and provide analytics to optimize CRT and single-family portfolios.
Qualifications:Doctorate degree (or Master’s degree +3 years relevant experience in quantitative finance, statistics, economics or a related quantitative field
Coursework or work experience applying predictive modeling techniques from finance, statistics, mathematics, data science, and computer programming to large data sets. Qualifying coursework may include--but is not limited to—statistics, mathematical programming, optimization, machine learning, computational methods, design and analysis of algorithms, Bayesian methods, derivatives, and Monte Carlo methods
Coursework or work experience writing statistical or optimization programs to develop models and algorithms. Programming languages may include--but are not limited to—SAS, Python, R, SQL, Java, and MATLAB
A deep understanding of statistical risk and cash flow models, and the impact of mortgage credit and prepayment on mortgage valuations. GSE experience preferred.
Strong interpersonal, presentation, and communication skills.
Keys to Success in this Role:Self-motivated with a strong desire to lead projects. Ability to multitask and work efficiently under tight deadlines.
Capability to translate business requirements into analytical problems and effectively communicate analytical results in business terms.
Ability to resolve complex business issues through creative solutions and gain buy-in from key stakeholders.
Meticulous attention to detail.
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 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.
A safe and secure environment is critical to Freddie Mac’s business. This includes employee commitment to our acceptable use policy, applying a vigilance-first approach to work, supporting regulatory mandates, and using best practices to protect Freddie Mac from potential threats and risk. Employees exercise this responsibility by executing against policies and procedures and adhering to privacy & security obligations as required via training programs.
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 timeFLSA Status:ExemptFreddie 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 $125,000 - $187,000 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.