AML Model Monitoring

3 days from Office

Hyderabad

Python + SQL - MUST

Job Expectations:

• This profile is a AML model data analyst profile who understands database and data quality more than AI/ML or reporting hence

  reporting profiles are not preferred

• Reporting specialists/ Business Analysts, functional analysts, financial crimes or banking operations analyst performing L1/L2/L3 maker/checker activities or alert disposition, KYC /CDD/EDD due diligence/ Fraud /Negative news alert investigators

  NEED NOT apply

Role & responsibilities

• Consult with business line and enterprise functions on less complex research
• Use functional knowledge to assist in non-model quantitative tools that support strategic decision making
• Perform analysis of findings and trends using statistical analysis and document process
• Present recommendations to increase revenue, reduce expense, maximize operational efficiency, quality, and compliance
• Identify and define business requirements and translate data and business needs into research and recommendations to improve efficiency

• 2+ years of experience with BSA/AML/OFAC laws and regulations.
• Prior Experience enhancing AML Monitoring Models and Systems.
• Acquaintance with financial crimes /regulatory/fraud data
• Demonstrated experience supporting BSA/AML and sanctions monitoring systems for global multi-channeled financial institution
• UAT/regression testing experience on data outputs involving complex data mapping designs.
• Proficient in SAS Or Python is essential, as these tools are critical for automating repeatable analytical processes. While advanced proficiency is not mandatory, a beginner to intermediate level is acceptable, with an expectation to upskill on the job.

• Strong foundation in statistical modeling, machine learning algorithm
• Experience in conducting data quality analysis to support modelling  

Preferred candidate profile