Advanced Credit Card Fraud Risk Expert

3 days ago

Alwar, Rajasthan, India beBeeFraudRisk Full time ₹ 20,00,000 - ₹ 30,00,000
Job Overview:

We are seeking a Senior Fraud Risk Modeler to join our team.

As a key member of our fraud prevention unit, you will be responsible for developing and implementing advanced statistical and machine learning models to identify and prevent fraudulent activities.

Key Responsibilities:
  • Model Development & Validation: Build, implement, and validate fraud detection and prevention models using advanced statistical and machine learning techniques.
  • Data Analysis & Interpretation: Analyze large-scale transactional and behavioral data to identify fraud patterns, assess model performance, and provide actionable insights.
  • Risk Assessment & Monitoring: Evaluate existing fraud controls, monitor fraud trends, and quantify exposure to evolving threats across digital and traditional channels.
  • Communication & Collaboration: Effectively present analytical findings and model performance to both technical and non-technical stakeholders.
  • Documentation & Reporting: Maintain comprehensive documentation of model development processes, risk assumptions, fraud detection frameworks, and compliance requirements.
Requirements:
  • Qualifications: Bachelor's or Master's degree in a quantitative discipline such as Statistics, Mathematics, Computer Science, Economics, Data Science, or a related field.
  • Experience: 6 to 7 years of hands-on experience in a banking environment, specifically in developing, implementing, and maintaining fraud risk models.
  • Skills: Strong programming skills in Python, SQL, R, or SAS for model development, data manipulation, and automation. Proficiency with machine learning and statistical techniques such as decision trees, gradient boosting, clustering, anomaly detection, and neural networks.

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