Enterprise Applied Ai & Analytics Lead

FANNIE MAE

Reston, VA, United States
Base: $123,000 to $161,000 a year; bonus/equity: n...
Fully remote
Genai or llm-enabled solutions
Aws-based data science environments
Python for data analysis
Playing an essential role in the U.S. economy, Fannie Mae is foundational to housing finance

Job Summary

  • Playing an essential role in the U.S. economy, Fannie Mae is foundational to housing finance.
  • As the Enterprise Applied AI & Analytics Lead Associate, you will serve as a subject matter expert in analytics and modeling, guiding the team in the application of advanced analytical techniques to solve complex business problems.
  • Fannie Mae is committed to providing reasonable accommodations to qualified individuals with disabilities who are employees or applicants for employment, unless to do so would cause undue hardship to the company.

Matching Summary

Playing an essential role in the U.S. economy, Fannie Mae is foundational to housing finance.

Salary

Base: $123,000 to $161,000 a year; Bonus/Equity: Not specified; Benefits: Comprehensive benefits package

Skills & Requirements

Must-have

  • GenAI or LLM-enabled solutions
  • AWS-based data science environments
  • Python for data analysis
  • analytical problem-solving skills
  • define KPIs and develop metrics

Nice-to-have

  • end-to-end GenAI product building
  • model risk management awareness
  • modern data or AI platforms
  • regulated or large-enterprise setting

Key Requirements

  • 4 years practical experience with GenAI/LLM
  • Experience in AWS SageMaker
  • Hands-on Python analytics experience
  • Strong communication skills
  • Bachelor degree or equivalent experience
  • Advanced degree or certifications

Work Rights

Not specified

Tailored Resume

Cover Letter