Quantitative Risk Analytics Senior

6 days ago

Bloomington, Illinois, United States Freddie Mac Full time
Job Description

Position Overview:

We are seeking a highly skilled Quantitative Risk Analytics Senior to join our team at Freddie Mac. As a key member of our Credit Risk Data Enablement team, you will play a critical role in building and maintaining the data ecosystem that supports our Credit Analytics, Reporting and Decisioning Strategy (CARDS) team.

Key Responsibilities:

  • Develop, test, and deploy automated data pipelines using various tools and technologies across the Freddie Mac data ecosystem.
  • Support and maintain the SF Risk Data Intake Process, coordinating with consumers to understand needs, manage delivery timelines, and balancing competing priorities.
  • Maintain metadata that empowers your colleagues and our data consumers, including 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.

Requirements:

  • Bachelor's Degree in Quantitative Finance, Statistics, Mathematics, Economics, or a related quantitative field (Master's Degree preferred) and 5+ years of overall relevant 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+ year work experience 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.
  • Knowledge of Agile/Scrum principles is preferred.
  • Experience building or using APIs is preferred.

Keys to Success in this Role:

  • Excellent technical, analytical, and problem-solving skills.
  • Organized and great attention to detail with the ability to balance multiple priorities.
  • Deep curiosity and openness to learn and collaborate.
  • Self-starter that can build connections and learn from others.

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