Freddie Mac's Single Family Division is currently seeking a Quantitative Analysis Senior to implement tools and methods of risk evaluation and monitoring as a member of the Credit Analytics and Reporting team.
Your Work Falls Into Three Primary Categories
Cleanse, manipulate and analyze large datasets (Structured and Unstructured data XMLs, JSONs, PDFs) using Hadoop platform.
Develop PIG, HIVE scripts to filter/map/aggregate data. Scoop to transfer data to and from Hadoop.
Manage and implement data processes (Data Quality reports)
Analysis and Modeling
Perform R&D and exploratory analysis using statistical techniques and machine learning clustering methods to understand data.
Develop data profiling, deduping logic, matching logic for analysis
Big Data languages such as R, Python, Spark for analytics and developing dashboards
Collaboration and Innovation
Lead a cooperative effort among members of a project team comprised of IT and Business
Train and mentor staff on Hadoop, R, Python, Spark and other Big Data languages
Present ideas and recommendations on Hadoop and other technologies best use to management
Doctorate degree (or 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.
Keys to Success in this Role
Ability to manage multiple priorities and meet critical deadlines
Strong analytical and problem-solving skills
Excellent customer service skills
Ability to communicate effectively with team members, stakeholders, and management on both the business and IT teams
Top 3 Personal Competencies to Possesses
Drive for Execution: Treat obstacles as challenges to overcome, not excuses
Customer Focus: Personally, engage with customers to learn their needs
Seek and embrace change: Actively support culture change initiative
3+ years of programming experience in at least 2 languages - R, Python, Spark, Java for data processing and analysis.
2+ years of experience using Hadoop platform and performing analysis. Familiarity with Hadoop cluster environment and configurations for resource management for analysis work
Experience in mortgage industry is desired
Use of analytical and statistical functions (Standard deviation, decision trees) is preferred.
Strong SQL experience
Strong quantitative, analytical, and problem-solving skills
Detail oriented. Excellent communication skills (verbal and written)
Must be able to manage multiple priorities and meet deadlines
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.