Financial Crime and Complaince Analytics Professional, with 8 to 10 years of experience. Experience in scenario design and Development for Financial Crime detection, analysis and reporting
Model development in AML domain for customer segmentation and Scoring of customers. Experience in calibration of new AML scenarios,Threshold fine tuning and ongoing monitoring of scenarios.
Good exposure on application of statistical methodologies in False positive reduction.
Expertise on Data Analysis, ETL, Data cleansing, validation. Strong Knowledge on Data warehousing concepts & principles.
Hands on experience on Tableau, python and pyspark.
|Organization||Principal Search Consulting (PSC)|
|Industry||Data Entry / Back Office Processing Jobs|
|Occupational Category||Data Scientist|
|Job Type||Full Time|
|Career Level||Experienced Professional|
|Posted at||2021-10-12 2:13 pm|