Job Description :
Requirements:
Professional business experience in Anti Money Laundering(AML)
Proficient in SAS Reporting and Analysis
Proficient in SQL
Develop predictive models for anti-money laundering alerts to reduce the alert volumes to be sent over and to help prioritize cases for AML operations analysts
Establish the model development process for predictive modeling related to anti money laundering alerts.
Manage model implementation process from the optimization team side by preparing technical specifications, answering implementation questions from Technology and identifying data quality issues.
Emulate scenarios that help identify money laundering activity.
Accountable for segmentation model building projects using machine learning and statistical analysis techniques
Design and establish processes for agile execution of threshold tuning projects per approved methodology that allow for proper execution while maintaining documentation necessary for compliance testing, internal audit and OCC validation.
Acquires and applies proficient knowledge of the business and technological discipline.
Preparing business specific and ad-hoc reports using key performance metrics for senior management and business partners for presentation, forecasting and further analysis
Need to convert the business need in form of tools and technology by bucket and risk behavior. Present analysis in the monthly business executive meeting.
Ensures the adoption of relevant Process Excellence standards and best practices as appropriate.
Builds relationships within business unit and across the enterprise to enable cooperative achievement of common goals while driving improved process maturity.
Managing and meeting project milestones

Responsibilities:

Modeling experience related to Anti-Money Laundering or Financial Crimes Typologies.
Developing predictive models for financial institutions including scoring type models and segmentation models using machine learning tools.
Financial and forecasting analysis related to risk management
Emulating scenarios to detect money laundering activity.
Extensive experience in SAS programming and data analysis using BASE SAS software in WINDOWS and UNIX Environment
Extensive experience in SAS/BASE, SAS/MACRO, SAS/SQL, SAS/ODS, SAS/STAT and SAS/GRAPH
Hands on experience in SAS programming tasks such as extracting and merging SAS data sets, writing SAS procedures, macros, validating data, producing reports, and using SAS formats and functions
Experience with SAS procedures such as PROC IMPORT, PROC EXPORT, PROC TABULATE, PROC SORT, PROC FORMAT, PROC PRINT, PROC MEANS, PROC FREQ, PROC REPORT, PROC TRANSPOSE, PROC SGPANEL and PROC SGPLOT
Experience in SQL, R, Excel (VBA) Big data tools – Hive, Impala, SAS, R


Client : Nityo Infotech

             

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