Practice for the Freddie Mac interview with these recently asked interview questions.
| Question | Topic | Difficulty |
|---|---|---|
Machine Learning | Medium | |
Let’s say you’ve just joined a team at a fintech startup, and you’re now responsible for maintaining a credit risk model that predicts loan defaults. The model was built by a previous data scientist who has since left, and you have access to their code, documentation, and a sample of recent model outputs. What steps would you take to evaluate and take ownership of this model, and how would you decide what (if anything) to change first? | ||
Data Modeling | Hard | |
Business Case | 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 Freddie Mac?
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 Analyst role pays the most with a $175,000 base salary while the Business Analyst role on average pays the least with a $78,000 base salary.
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