Practice for the Fannie Mae interview with these recently asked interview questions.
| Question | Topic | Difficulty |
|---|---|---|
AI & Agentic Systems | Hard | |
Let’s say you work as an LLM engineer at an enterprise software company. You are tasked with designing a retrieval-augmented generation (RAG) system to ensure that the language model only provides answers based on a specific set of ingested documents, and never responds using its original training data. How would you architect this system? | ||
Machine Learning | Medium | |
Behavioral | Medium | |
SQL | Easy | |
Machine Learning | Medium | |
Statistics | Medium | |
SQL | Hard | |
Machine Learning | Medium | |
Python | Easy | |
Deep Learning | Hard | |
SQL | Medium | |
Statistics | Easy | |
Machine Learning | Hard |
Check your skills...
How prepared are you for working at Fannie Mae?
Most data science positions fall under different position titles depending on the actual role.
From the graph we can see that on average the Data Engineer role pays the most with a $145,000 base salary while the Business Analyst role on average pays the least with a $110,000 base salary.
Discussion & Interview Experiences