Risk System Development Prf

Freddie Mac

17h • $98,000 - $146,000

About The Position

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. Continue your career journey where your work contributes to a greater purpose.
Position Overview:
At Freddie Mac, you will do important work to build a better housing finance system and you’ll be part of a team helping to make homeownership more accessible and affordable across the nation. The ideal candidate will possess strong technical analytical skills and a passion for data analysis, with a strong business acumen. You will play a crucial role in interpreting and organizing data, to support business decisions and enhance operational efficiency. Your ability to multitask and lead multiple projects will be important to our success! Do you have passion to help build a software application that helps more people achieve the dream of homeownership? Do you thrive in a fast paced, hands on, data driven environment? If so, working as a Product Analyst, Senior on the Single-Family Underwriting and Risk Assessment (UWRA) team could be a good fit!
Our Impact:
Our team is responsible for leading requirements analysis, data analysis, and user acceptance testing for SF Acquisitions data and applications. We coordinate with project teams across divisions and are instrumental in resolving application/data issues.
Delivery and support of solutions for common data platform to enable effective data analytics and reporting
Present data clearly to facilitate strategic decisions
Your Impact:
Business requirements gathering and solutioning in alignment with enterprise business data strategy
Architecting and documenting data warehouse solutions using data modeling
Design, implement, and optimize end-to-end data pipelines for ingesting, processing, and transforming large volumes of structured and unstructured data.
Assist team with data analytics & reporting and identifying opportunities to monitor data quality. Analyze and resolve data issues

Requirements

• Bachelor's Degree or equivalent work experience
• 4-6 years Mortgage related experience preferred, and moderate to strong MS Office and Excel data analytics skills
• Experience working with and using Agile/Scrum methodology with active participation in Agile ceremonies; Certification from Scaled Agile Framework (SAFe) or Scrum Alliance preferred but not required
• Strong presentation skills, including ability to facilitate meetings and work across Product teams
• Comfortable learning, using and updating change control documentation per Change Management policies, procedures & processes
• Support team in development process by working to define and test requirements based on product knowledge
• Strong proficiency in data entities in context of SQL, JSON/XSD schemas, numeric, strings, enumerated, date and timestamps
• Ability to understand and document Data Relationships (such as one to many, many to many etc.), cardinalities of relationships, primary unique keys, constraints for data attributes of different types, understanding of NULL data, defaulting of data
• Basic querying data skill in both relational and NoSQL databases (preferably Mongo DB) using database UI Client applications (e.g. Rapid SQL or any other, Compass for MongoDB database or similar)
• Ability to partner across the Freddie Mac organization to support Product team goals
• Work independently in a fast-paced environment and flexible in handling multiple requests and tasks with contending deadlines
• Ability to have fun as part of a high energy team that thrives with learning and innovation!
• Work in a matrix organization with strong critical thinking skills to understand sophisticated functional interdependencies

Responsibilities

• Business requirements gathering and solutioning in alignment with enterprise business data strategy
• Architecting and documenting data warehouse solutions using data modeling
• Design, implement, and optimize end-to-end data pipelines for ingesting, processing, and transforming large volumes of structured and unstructured data.
• Assist team with data analytics & reporting and identifying opportunities to monitor data quality.
• Analyze and resolve data issues

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level