Senior Fraud Risk Modeler

2 days ago

Bengaluru, Karnataka, India beBeeFraudRiskAnalyst Full time ₹ 1,50,00,000 - ₹ 2,00,00,000

Job Overview:

Fraud detection is a critical aspect of financial institutions, and we are seeking an experienced Senior Fraud Risk Modeler to join our team. As a key member of our risk management group, you will be responsible for designing, developing, and maintaining models to detect and prevent fraud across various financial products and channels.

Key Responsibilities:

  • Design, develop, and maintain advanced statistical and machine learning-based models to detect and prevent fraud in credit card transactions.
  • Analyze large-scale transactional and behavioral data to identify fraud patterns and assess model performance.
  • Collaborate with cross-functional teams to enhance fraud detection capabilities and reduce fraud losses.
  • Evaluate existing fraud controls and monitor fraud trends to quantify exposure to evolving threats.

Required Skills:

  • Strong proficiency in Python, SQL, and data science tools.
  • Familiarity with real-time decision engines and fraud detection platforms.
  • Deep understanding of the fraud domain expertise for debit card products.
  • Ability to lead fraud analytics initiatives and mentor junior analysts or data scientists.

Qualifications:

  • Bachelor's or Master's degree in a quantitative discipline such as Statistics, Mathematics, Computer Science, Economics, Data Science, or a related field.
  • 6-7 years of hands-on experience in a banking environment, specifically in developing, implementing, and maintaining fraud risk models across products and channels.

Benefits:

  • Opportunity to work on complex fraud detection projects.
  • Collaborative and dynamic work environment.
  • Ongoing training and professional development opportunities.

This is a challenging and rewarding role that requires a strong analytical mindset, excellent problem-solving skills, and the ability to communicate complex ideas effectively. If you have a passion for fraud detection and prevention, we encourage you to apply.

Keyword: FraudRiskAnalyst

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