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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 Portfolio Analytics Team is currently seeking a "Data Science and Artificial Intelligence" Senior who will be responsible for Accelerating Machine Learning and GenAI use case development and implementation for Single Family Chief Credit Officer, as well as House Price models strategy and analytics to support business and risk management decisions. Apply now and learn why there's #MoreAtFreddieMac!
Our Impact: Our team is responsible for two key areas:
Accelerating Machine Learning and GenAI use case development and implementation for Single Family Chief Credit Officer, scaling of AI/ML capabilities across SF Seller Credit Risk with focus on SF portfolio credit risk analytics and modeling. Main focus is on rapid prototyping of GenAI mortgage-related products.
Comprehensive model governance and model use strategy for House Price Models including House Price Forecasting and House Price Index models. In this role, we focus on supporting users across the company in identification and mitigation of risks related to development and implementation House Price Models. We also help design practical model strategy for House Price Models, and support house price analytics in this space.
Your Impact: - Use statistical, machine learning, and deep learning techniques to Accelerating Machine Learning and GenAI adoption, GenAI use case development and implementation.
- Support Model Business Owner in design of practical model strategy for House Price Models, and perform house price business analytics and modeling in this space.
- 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 3 years of equivalent work experience, in quantitative finance, statistics, economics or a related quantitative field.
- Coursework or work experience designing large scale data driven experiments with focus on experimental design and sampling techniques.
- 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 computer programs to implement data science pipelines and predictive algorithms. Programming languages may include--but are not limited to--Python, C++, SQL, Java, SAS.
- Experience using Unix/Linux, Git, Kubernetes and related technologies as well as statistical and machine learning libraries such as scikit-learn, MLlib and Pytorch is a plus.
Keys to Success in this Role: - Exceptional quantitative and analytics skills.
- Passionate about ML/Gen AI.
- Strong focus on execution and delivery of results
- 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.
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 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 $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.
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