Quantitative Risk Analytics, Senior

Freddie Mac • McLean, VA

255d • $133,000 - $199,000

About The Position

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 and rental housing more accessible and affordable across the nation. Manage the data ecosystem that supports the Credit Analytics, Reporting and Decisioning Strategy (CARDS) team. Coordinate with analytical teams to develop curated data structures for analytical consumers. Utilize technical expertise to build, test, and automate Extract-Transform & Load (ETL) tools to create and maintain data pipelines leveraging multiple technology stacks. Maintain metadata that to help data consumers understand the CARDS data ecosystem (current data inventory, lineage, data movement controls, relevant data pipelines).

Requirements

• Bachelor's Degree in Quantitative Finance, Statistics, Mathematics, Economics or a related quantitative field (Master's Degree preferred) and 5 years of related experience.
• 3+ years of professional experience building data pipelines using ETL tools, data engineering packages, and frameworks such as Informatica, Python, R, SAS, Alteryx.
• 1+ years professional experience working with Business Intelligence Tools, Dashboards and Reports such as Tableau, PowerBI, Qlik, etc.
• Proficiency in Shell Scripting for automation, and maintaining code in a server-based environment.
• Proficiency working with Unstructured/Semistructured data and related platforms such as XML, JSON, Mongo, Messaging Services.
• Expert python development skills.
• Solid understanding of risk, mortgage credit risk, and the mortgage life cycle is a plus.
• Experience working with agile/scrum principles is preferred.
• Experience building or using APIs is preferred.
• Experience presenting data products and solutions to product owners and data consumers.

Nice To Haves

• Experience working with agile/scrum principles.
• Experience building or using APIs.

Responsibilities

• Develop, test and deploy automated data pipelines leveraging various tools and technologies in use across the Freddie Mac data ecosystem.
• Support and maintain the Single Family Risk Data Intake Process.
• Coordinate with consumers to understand needs, manage delivery timelines, while balancing competing priorities.
• Maintain metadata that empowers colleagues and data consumers such as job aids, knowledge articles, user guides, data lineage and data transformation rules.
• Support key data initiatives impacting Single Family Risk via impact assessments, consumer outreach, testing services, and generation of project specific artifacts.
• Collaborate independently with Subject Matter Experts to understand business concepts across multiple domains such as credit risk, loan pricing, affordable housing goals, or capital management.

Benefits

• Competitive compensation and market-leading benefit programs.
• Annual incentive program.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Industry: Credit Intermediation and Related Activities
• Education Level: Bachelor's degree