Job Description

Job Opportunity at Freddie Mac

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

Are you looking for an opportunity to put your technical skills to use working on advanced modeling challenges?

Freddie Mac's Single-Family Modeling team is currently seeking a Quantitative Analytics Senior who will be responsible for the development and execution of quantitative analytics and modeling projects to support business and risk management decisions.

Our Impact

Our team is responsible for accelerating the development, deployment, and scaling of AI/ML capabilities across the Single Family Modeling department. Team will also provide expertise on the governance requirements surrounding AI/ML to ensure safety and soundness.

Your Impact

• Use statistical, machine learning, and deep learning techniques to develop models.
• Make efficient use of distributed computing technologies including Spark, Dask and others to utilize structured and unstructured big data available.
• Collect, manipulate, and analyze large volumes of data from a variety of sources and structures.
• Research latest and emerging techniques and create proof-of-concept projects showcasing benefits and improvements.

Qualifications

• Doctorate degree (or Master's degree with 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, 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

Keys to Success in this Role

• Exceptional quantitative and analytics skills.
• Strong knowledge of Machine Learning and statistical models, tools and techniques.
• Strong programming skills.
• Strong written and oral communication skills.
• Ability to work under limited direction, independently resolving and developing approach to solutions.

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.

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.

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