Data Engineering Senior - Quantitative Analytics

Freddie Mac Mclean , VA 22107

Posted 3 months ago

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

Data Engineering

  • 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

Preferred Skills

  • 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.

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Data Engineering Senior - Quantitative Analytics

Freddie Mac