Senior BI & AI Solutions Lead for Collateral Analytics

The Fannie Mae

United States

Sur place

USD 123 000 - 161 000

Plein temps

Il y a 6 jours
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Résumé du poste

Fannie Mae is seeking a Lead Associate on the Collateral Strategy & Innovation team in the United States. You will drive data-driven analysis to modernize collateral data, valuation platforms, and related processes. The role combines analytics, technology, and AI to deliver practical business outcomes.

You will partner across Product, Technology, Analytics, Policy, and Operations, guiding requirements from discovery through implementation and mentoring junior colleagues.

Qualifications

  • Bachelor's degree or equivalent experience in a quantitative field.
  • Strong experience turning data into business insights and actions.
  • Proficiency with SQL, Python/R, and data visualization tools.
  • Experience with BI tools and translating problems into analytical approaches.
  • Demonstrated leadership across cross-functional teams.

Responsabilités

  • Lead complex analysis using structured and unstructured data to identify trends and actionable insights.
  • Apply SQL, data analysis, and visualization to support decision-making.
  • Use Python, R, or similar tools to prototype solutions and automate tasks.
  • Identify AI/ML opportunities to improve collateral decisioning and automation.
  • Develop prototypes and proofs of concept to demonstrate business value.
  • Translate business problems into clear requirements and data needs.

Connaissances

SQL
Python/R
Data Visualization
BI Tools
AI/ML
Leadership
Business Analysis

Formation

Bachelor's degree

Outils

AWS
Data Visualization Tools

Description du poste

Fannie Mae is seeking a Lead Associate on the Collateral Strategy & Innovation team in the United States. You will drive data-driven analysis to modernize collateral data, valuation platforms, and related processes. The role combines analytics, technology, and AI to deliver practical business outcomes.

You will partner across Product, Technology, Analytics, Policy, and Operations, guiding requirements from discovery through implementation and mentoring junior colleagues.

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