Quantitative Analytics Professional

Freddie Mac
McLean, VA
Feb 21, 2019
Feb 21, 2019
Full Time
The Credit Analytics and Reporting team under Freddie Mac's Single Family Division is currently seeking a Quantitative Analytics Professional to build data repository to facilitate modeling and analysis of risk evaluation.

Your Work Falls Into These Primary Categories:

Data Engineering:

*Cleanse, manipulate and analyze large datasets (Structured and Unstructured data - XMLs, JSONs, PDFs) using Hadoop platform.
*Develop Python, Spark, HIVE scripts to filter/map/aggregate data.
*Manage and implement data processes (Data Quality reports)
*Design and implement processes and analytical tools to proactively identify, quantify and monitor risks.
*Extract, transform and summarize information from large data sets to inform management decisions.
*Execute complex models to produce monthly reports and estimates.
*Acquire deep understanding of upstream models, model uses, and model outputs.

Analysis and Modeling:

*Perform R&D and exploratory analysis using statistical techniques and machine learning clustering methods to understand data.
*Develop data profiling, deducing logic, matching logic for analysis.
*Big Data languages such as Python, Spark for analytics and developing reports.
*Present ideas and recommendations on Hadoop and other technologies best use to management.


* Master's degree (or Bachelor'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.

Preferred Skills

Key to success in this role

*Exceptional quantitative and empirical analysis skills
*Programming experience with Python, Spark and Excel Experience conducting complex analysis and reporting
*Strong oral and written communication skills with ability to succinctly describe complex technical scenarios in simple, easily-understood terms
*Ability to apply an analytical mindset to understand problems and propose actionable solutions supporting strategic business decisions.
*Strong programming skills in a statistical programming language such as Python, Spark, Machine Learning libraries and database skills such as SQL.

Today, Freddie Mac makes home possible for one in four home borrowers and is one of the largest sources of financing for multifamily housing. Join our smart, creative and dedicated team and you'll do important work for the housing finance system and make a difference in the lives of others. Freddie Mac is an equal opportunity and top diversity employer. EOE, M/F/D/V.

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