Risk Analytics Manager

Freddie Mac
McLean, VA
Aug 13, 2019
Aug 21, 2019
Full Time
Freddie Mac's Single Family Division is currently seeking a Risk Analytics Manager to implement tools and methods of risk evaluation as a member of the Credit Analytics and Reporting team.

Your work falls into two primary categories:

Business/System Requirements
  • As a Collateral Risk Analytics Manger gather business and system requirements for data movement and controls, develop and document mappings and rules
  • Review system requirements/ spec to ensure business requirements documents are captured accurately
  • Manage SIT/User Acceptance testing activities including development of test cases, test scripts and performing SIT/user acceptance testing for data application projects
  • Manages collateral risk data management activities focusing on requirements gathering and testing implementation of data processes on big data platform
  • Gather and document Business Operational Readiness Review document
  • Facilitate requirements meetings and influence decisions including analysis of project-related documentation to aid the evaluation of inherent risks in collateral evaluation
  • Works on issues of diverse scope where analysis of situation or data requires evaluation of a variety of factors, including an understanding of current data management trends
  • Have experience manipulating and analyzing large datasets including using statistical software
  • Solutions are innovative, thorough, and practicable
  • Independently determines and develops approach to solutions
  • Collaborate with team members and interact across organizational lines to meet business objectives
  • Interact, collaborate and support other SIT/UAT testing teams
  • Must be able to manage multiple priorities and meet deadlines
  • Analyze large datasets (Structured and Unstructured data - XMLs, JSONs, PDFs) using big data platform.
  • Would be required to engage using Python, PySpark, PIG, HIVE scripts to filter/map/aggregate data.
  • Capture requirements for R&D and exploratory analysis to understand requirements and data.

Team management and leadership
  • Receive assignments in the form of objectives and determine how to use resources to meet schedules and goals
  • Manage and develop a small team of analysts and data scientists
  • Act as an advisor to subordinates, provide guidance within the latitude of established company policies


  • Typically 10-12 years of experience in data analysis combined with strong business and technical skills
  • Bachelor's of Science Degree in Information Management, Computer Science or related field or study
  • 12+ years of excellent SQL/SAS and Unix programming experience
  • 4+ years of experience working with JSON, XML and CSV files
  • 4+ years of data mart/database/ETL experience
  • Worked in the business area or closely/directly with business area to gather business requirements/rules logic and develop code.
  • Solid verbal and written communication skills
  • Detail oriented and excellent organization skills
  • Experience working with Version One or JIRA or similar tool
  • Strong quantitative, analytical, and problem-solving skills
  • Experience with database, data model and data warehouse concepts
  • Working knowledge of Loan Prospector, Loan Quality, and Loan Advisor or similar applications
  • Loan Manufacturing process knowledge
  • Logical thinker performing data analysis
  • Solid understanding of business & systems needs and detail requirements

Keys to Success
  • Execution focused, with demonstrated initiative and personal accountability
  • Strong consultation and influencing skills
  • Ability to work with and collaborate across the team
  • Ability to work independently and adapt in a changing environment
  • Ability to perform empirical analysis and synthesize information for stakeholders, including senior management
  • Curiosity to learn and challenge the status quo

Top 3 Personal Competencies to Possess
  • Drive for Execution - Focus on results rather than the appearance of results
  • Partnership - Build trust and strong partnerships through my own and my team's actions
  • Seek and Embrace Change - Continuously improve work processes rather than accepting the status quo

Preferred Skills

Preferred Skills
  • Programing experience with SAS statistical and data procedures
  • Programming experience on Spark and Hadoop
  • Programming experience with R or Python Machine learning libraries
  • Mortgage industry experience or financial / credit analysis
  • Knowledge of Freddie Mac internal models and processes

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.