Quantitative Analytics Professional

JOB DESCRIPTION

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 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.

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.