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The primary area of focus for this position is to analyze transaction data, understand fraud patterns, and develop fraud loss mitigation strategies with the objective of minimizing fraud losses while reducing customer impact. Responsibilities include regular monitoring of strategy performance, collaborating with strategy implementation teams, and using data analysis tools to proactively mitigate fraud using advanced analytics techniques.
Job Responsibility:
Analyze transaction data and understand fraud patterns
Develop fraud loss mitigation strategies
Monitor strategy performance
Collaborate with the strategy implementation team for strategy implementation
Proactively come up with fraud loss mitigation measures leveraging new data sources, advanced analytics techniques wherever applicable
Extract different data sources depending upon business objectives
Generate fraud risk insights and recommend business solutions
Deliver multiple complex analytical projects
Present findings and solutions to business stakeholders and senior management
Requirements:
8+ years of analytics experience, prior experience in Fraud analytics preferable
Advanced analytical and business strategy skills
Effective communication skills
Ability to present to business partners and/or leaders to gain approvals
Project and process management skills
Excellent written and verbal communications skill
Experience with a prior focus in financial services analytics
Solid organizational skills and ability to manage multiple projects at one time
Self-starter who also has a demonstrated ability to work successfully in team environment and drive
Nice to have:
Knowledge in Python
Knowledge in Tableau or any other data visualization tool
Experience in stakeholder management across various functions and regions
Understanding of decision tree (CHAID/CART), Logistic Regression, exploratory data analysis
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