Business Analytics Analyst

• Working on threshold tuning for Optimization
• developing Logistic Regression Model to predict customer behavior
• identifying anomalies in transaction and Customer behavior
• Outlier detection
• ATL threshold tuning
• segment customers into homogenous groups using clustering
• Logistic Regression Model Performance Review
• validate data and identify data quality issues
• analyze and interpret data reports
• automate data extraction and preprocessing tasks
• perform ad hoc data analyses
• document solutions and present results in a simple comprehensive way to non-technical audience
• generate new ideas, concepts, and models to improve methods of obtaining and evaluating data.

• Background in analysis using databases, warehouses, data processing
• experience with statistics and data mining
• experience and knowledge in banking and finance, especially in the AML area, will be a plus
• ability to read and create formal documentation.

• Good knowledge in Python, SQL, Hive
• knowledge in SAS is preferred but not mandatory
• highly skilled with MS Excel, VBA experience is a plus
• experience in reporting the results of analysis in clear written form and in presenting findings
• understanding of technical requirements and ability to communicate with Technical Support.

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