- 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.
What we look for
People with the ability to work in a collaborative manner to provide services across multiple client departments while following the commercial and legal requirements. You will need a practical approach to solving issues and complex problems with the ability to deliver insightful and practical solutions. We look for people who are agile, curious, mindful, and able to sustain positive energy, while being adaptable and creative in their approach.
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
📌 Manager (Telangana)
🏢 EY
📍 Telangana
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