Quantitative Analytics Senior - House Price Index Modeling

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:

Freddie Mac’s Single-Family Division is currently seeking a Quantitative Analytics Senior to be responsible for the development and execution of statistical models and applications in support of business and risk decisions as a member of the House Price Index Modeling Team. This role is critical to advancing Freddie Mac’s mission of Making Home Possible by developing robust and interpretable models for tracking house price appreciation. Apply now and learn why there’s #MoreAtFreddieMac!

Our Impact:

• Freddie Mac is leading the U.S housing market forward by making homeownership and rental housing more accessible and affordable. Our team develops robust, scalable models that support the Single-Family business by enabling critical, data-driven risk decisions. 

• Our team is responsible for developing house price index models for Freddie Mac.

Your Impact:

• As a Data Scientist at Freddie Mac, you will join a group of skilled professionals who use data science to solve important business problems.

• Developing analytical methods and models about the collateral underlying the mortgages in Freddie Mac's portfolio. Conducting research on enhancements to the existing models, and applying industry standard processes and techniques to meet various business needs.

• Providing innovative, detailed and practical solutions to an extensive range of demanding and complicated problems.

• Implementing statistical models in efficient software languages, coding model prototypes for specification and test cases, modifying source codes in the existing application.

• Coordinating the testing through the model implementation, conducting back tests to monitor the model performance, and performing economic tests and stress tests to validate the model forecast results.

• Providing modeling and analytical support to a line of business or product area, functioning as day-to-day technical specialist.

• Preparing documentation for the technical analytics and rationale through the model development to comply with model oversight and support model review for approval.

• Working under limited direction, independently resolving and developing approach to solutions.

Qualifications:

• Doctorate degree, or Master degree with 3 years of equivalent work 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, or 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, or 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, and MATLAB

• Experience working with large data sets and relational database

• Experience in statistical model development and implementation is preferred

• Experience with software development and system setup for model application is preferred

Keys to Success in this Role:

• Exceptional quantitative and analytics skills

• Strong knowledge of statistical models, tools and techniques

• Strong programming skills

• Strong 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. 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 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 $126,000 - $190,000 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.