Job Description :
Position is located in northern Virginia - must be willing to be on-site!

Have you worked on Financial Models? Are you able to interpret a SAS-based model and re-write it in Python?

How about Pandas and NumPy? Do you have solid experience?

For a large financial services client on a long-term contract we are seeking a strong Python Data Engineer with great data engineering expertise.


Significant experience coding Python including Pandas and NumPy
Experience with regression and machine learning techniques will help you succeed
Familiarity with the mortgage industry or financial modeling/data
Experience working with large datasets - the bigger the better!
Understanding SAS Models is very helpful.
PySpark is also a bonus!

Assist in the conversion of a significant SAS-based model to one written in Python/PySpark.
Requires a self-starter who is comfortable working with large datasets, machine learning, and complex workflows.
Requires solid software engineering fundamentals and strong communication skills.

Client : A large Financial Services Company