Roles &Responsibilities:
- Provide analytical support for recommending actions to mitigate risk and use judgment-based decision-making regarding AML policies and procedures
- Accomplish the objectives of the Enterprises' AML Program through effective oversight and support of critical AML applications
- Assess the quality of the data for model development as well as inputs to the model, providing recommendations to improve the data quality at the source
- Developing models, testing, reviewing and performing validation activities and prepare end to end model documentation
- Experience in developing, validating models and risk management of anti-money laundering related models
- Sound knowledge of banking operations
- Hands on expertise in SQL, ETL, SAS, Python, R working with large data sets
- Strong scripting and automation experience using SAS/Python/R
- Hands-on Experience in Statistical and Machine Learning models
Qualification
Minimum of a Master of Science in Statistics/Economics/Finance or Bachelor's in Engineering, Computer Sciences, Information Management
Didn’t find the job appropriate? Report this Job