Quantitative Analytics Professional

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.

Overview: Are you curious and analytical? Do you thrive on working in a team environment? Are you looking for an inclusive company culture? Freddie Mac’s Single-Family Credit Analytics, Reporting and Decision Strategy group needs creative, forward-thinking individuals like you! We want to hire individuals who seek out complex business problems and develop viable solutions. The Quantitative Analytics Professional position is responsible for ensuring the reasonableness and consistency of statistical models, analytics and methodologies used in decision making in the Single Family guarantee business. Our Impact: Our team serves as the business user for multiple very high- and high-risk models. Our goal is to leverage all available models and tools to facilitate and optimize credit risk management and decision strategies. Our team is responsible for forecasting SF credit losses and enhancing company decision-making with respect to loan acquisition.

SF (Single Family) model enhancement - oversight, documentation, and testing of new modeling frameworks Model tracking reports - reviewing and ensuring reports to SF Acquisition division are concise, complete, and transparent Mortgage modeling expertise - understanding default and prepayment modeling frameworks and providing insights Data quality - understanding data relationships and ensuring accuracy Testing and governance - assisting with UAT and model governance processes Qualifications: Master's degree in quantitative finance, statistics or a related quantitative field. Coursework and / 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/modeling. Coursework and / or work experience writing statistical and/or optimization programs to develop models and algorithms. Programming languages may include—but are not limited to—Python, R, SQL, Java, SAS, and MATLAB. Keys to Success in this Role: Intellectual agility and interpersonal flexibility. Ability to work with and collaborate across the team and where silos exist. Deep curiosity to learn about latest trends. Ability to utilize data to help inform strategy and direction. Solid aptitude for solving problems, innovative and thinking outside the box. Ability to translate complex statistical models and methodologies into simple business terms. Strong leadership, planning and communication skills. 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.