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Fraud Strategy Manager
Primary Technical Skills

Minimum of 10 years related work experience in fraud strategy or fraud data science field.
Understanding of statistical methods, including classical statistics, probability theory, econometrics, and time-series analysis.
Robust familiarity with data extraction in environments like SQL. Working knowledge of Python, Hive, Spark, AWS Sagemaker.
Undergraduate degree or equivalent combination of training and experience. Graduate degree preferred.
Lead development of fraud strategies in fraud prevention systems
Independently perform sophisticated data analytics using structured and unstructured data
Leverages deep analytics and statistics knowledge to determine risk,



and develop plans for success
Collects, analyzes, and communicates statistics related to daily fraud mitigation operations to stakeholders
Leads and analyzes processes, products and reviews the validation of scalable analyses
Develops a technology strategy and manages vendor relationships supporting the delivery of analytical capabilities

Primary Non-Technical Skills

Oversees and leads the divisional strategy for fraud strategy, including governance frameworks, data structures, and deliverables
Ensures products meet stakeholders' needs for information and insights
Ensures alignment between department or team deliverables and enterprise goals and strategies
Engages with strategic business and stakeholder relationships to understand and probe business processes in order to develop risk mitigation processes
Brings structure to requests and translates requirements into an analytic approach
Makes recommendations t

📌 DE-RCE-Fraud Analytics-Manager-G (India)
🏢 EY
📍 India