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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 Modeling team is currently seeking a Quantitative Analytics Professional who will be responsible for the development and execution of quantitative analytics and statistical models to support business and risk management decisions as a member of the Model Strategy team. Apply now and learn why there’s #MoreAtFreddieMac!

Our Impact

Our team is responsible for accelerating the development of models across the Single Family Modeling department especially in the context of credit risk and credit summarization.

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, HIVE 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 with equivalent work experience in statistics, data 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 writing computer programs to implement data science pipelines and predictive algorithms. Programming languages may include—but are not limited to—Python, R, 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—Hadoop, Hive, Pig, Spark, relational databases, and NoSQL.
Experience using Unix, Hadoop and related technologies (Spark, Hive, etc.) as well as statistical and machine learning libraries such as scikit-learn, MLlib and Tensorflow is preferred.

Keys to Success in this Role

Exceptional quantitative and analytics skills
Strong knowledge of statistical models, tools and techniques
Strong programming skills
Rigorous attention to detail
Ability to learn and interpret new concepts quickly
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.

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.

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.

Quantitative Analytics Professional

Job Type