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.

Requirements:

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!
Responsibilities:

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