Maintain model governance framework and keep all supporting documentation up to date.
Interacting with key model governance and other leadership stakeholders across Interactive Brokers around model risk during all model life cycle stages to ensure the effective governance and oversight of model identification, development, use, and evaluation processes.
Assessing model documentation, including development, monitoring, and implementation documentation, for completeness against program standards and templates.
Perform qualitative and quantitative analysis of financial crime data. Develop codes to perform data analyses using Python and SQL.
Perform UAT testing of model changes.
Conduct testing and tuning for AML and Trade Surveillance Reports/Models.
Validate algorithm and programming logic in Python, SQL and Java.