Roles and Responsibilities :

- Develop and implement fraud detection models using machine learning algorithms to identify potential fraudulent activities in banking transactions.
- Collaborate with cross-functional teams to design and develop data pipelines for large-scale data analysis, visualization, and reporting.
- Conduct exploratory data analysis (EDA) on complex datasets to identify trends, patterns, and correlations that may indicate fraudulent activity.
- Provide insights and recommendations to stakeholders on how to improve fraud prevention strategies based on statistical modeling results.

Job Requirements :

- 10-15 years of experience in data science or a related field with expertise in artificial intelligence, machine learning, natural language processing, or similar technologies.
- Robust background in fraud analytics or a related field such as risk management or finance.
- Proficiency in Python programming language with experience working with popular libraries like scikit-learn, pandas, NumPy etc.

📌 Fraud Data Scientist (India)
🏢 EY
📍 India