Advanced Credit Card Fraud Specialist

3 days ago

Mysore, Karnataka, India beBeeFraudRisk Full time ₹ 15,00,000 - ₹ 25,00,000

Senior Fraud Risk Modeler

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

About the Role

This is an exciting opportunity for a skilled professional with expertise in fraud risk management, particularly in the credit card domain. As a Senior Fraud Risk Modeler, you will be responsible for designing, developing, and maintaining models to detect and prevent fraud across various financial products and channels.

You will analyze emerging fraud trends, assess fraud risk, and support fraud prevention strategies while clearly communicating insights to stakeholders and collaborating with cross-functional teams to enhance fraud detection capabilities and reduce fraud losses.

  • Fraud Detection and Prevention: Build, implement, and validate fraud detection and prevention models using advanced statistical and machine learning techniques for credit card products.
  • Data Analysis and Interpretation: Analyze large-scale transactional and behavioral data to identify fraud patterns, assess model performance, and provide actionable insights.
  • Risk Assessment and Monitoring: Evaluate existing fraud controls, monitor fraud trends, and quantify exposure to evolving threats across digital and traditional channels.
  • Communication and Collaboration: Effectively present analytical findings and model performance to both technical and non-technical stakeholders, including fraud operations, compliance, and executive leadership.
  • Documentation and Reporting: Maintain comprehensive documentation of model development processes, risk assumptions, fraud detection frameworks, and compliance requirements.
About You

To succeed in this role, you will need strong skills in Python, SQL, and data science tools, as well as experience in fraud analytics and modelling, including transaction monitoring, real-time detection, and rules-based or machine learning-driven approaches.

A solid understanding of fraud typologies, fraud prevention technologies, and linear regression and XGBoost algorithms will also be beneficial.

  • Bachelors or Master's degree in a quantitative discipline such as Statistics, Mathematics, Computer Science, Economics, Data Science, or a related field.
  • 6 to 7 years of hands-on experience in a banking environment, specifically in developing, implementing, and maintaining fraud risk models across products and channels.
  • 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.
  • Demonstrated ability to work with large and complex datasets, conduct deep-dive analytics, and extract actionable insights.
  • Excellent communication and stakeholder management skills, with the ability to clearly articulate model logic, assumptions, and outcomes to non-technical audiences.

In return, we offer a dynamic and collaborative work environment that supports your career growth and provides opportunities for professional development. If you have a passion for fraud risk management and want to make a difference in the industry, we encourage you to apply for this exciting opportunity.

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