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.

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 Professional who will be responsible for the development and execution of quantitative analytics and modeling projects to support business and risk management decisions. Apply now and learn why there’s #MoreAtFreddieMac!

Our Impact:

Our team is responsible for accelerating the development, deployment, and scaling of AI/ML capabilities across the SF 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, model performance monitoring reports and model implementation.

• · Make efficient use of distributed computing technologies including Hadoop, Spark, Kubeflow 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.

• Design rich data visualizations to communicate and present complex ideas. Present research results to both technical and non-technical audiences.

• Write documentation to explain modeling techniques and analytical decisions and comply with model oversight.

• Develop methodologies for data validation and data quality control

Qualifications:

• Master's degree in data science, statistics, mathematics, computer science or a related quantitative field.

• Coursework or work experience applying predictive modeling techniques from data science, statistics, machine learning, and econometrics to large data sets. Qualifying coursework may include—but is not limited to—data science, statistics, machine learning, optimization, numerical analysis, scientific programming, computational methods, supervised learning, unsupervised learning, text mining, and image analysis.

• Coursework or work experience with designing and training deep neural networks is a plus.

• 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, and MATLAB.

• Coursework or work experience using technologies for manipulating structured and unstructured big data. Big data technologies may include—but are not limited to—Spark, Dask, relational databases, and NoSQL.

• Experience using Unix, Git, Kubernetes and related technologies as well as statistical and machine learning libraries such as scikit-learn, MLlib and Pytorrch is preferred.

Keys to Success in this Role:

• Exceptional quantitative, empirical analysis, and research skills.

• Strong desire and ability to learn new big data and machine learning technologies.

• Effective interpersonal skills including the ability to collaborate successfully with other team members.

• Strong oral and written communication skills with ability to succinctly describe complex technical scenarios in simple, easily-understood terms.

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 $101,000 - $151,000 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.