Description

Minimum qualifications
* Experience in financial crime preferably in AML area
* Experience in developing, validating models and risk management of anti-money laundering related models
* Statistical modeling experience including regression, time series, etc.
* Detailed knowledge of data analysis / analytics / mining techniques
* Hands on expertise in SQL, ETL, SAS, Python, R working with large data sets
* Strong scripting and automation experience using SAS/Python/R etc

Education

Bachelor's degree in Computer Science