Senior Fraud Risk Modeler

1 day ago

Kolkata, West Bengal, India beBeeFraud Full time ₹ 20,00,000 - ₹ 31,00,000
Job Description

We are seeking a seasoned Financial Crime Analyst to design and develop models that detect and prevent fraud in the financial industry.

The successful candidate will analyze emerging fraud trends, assess risk, and support fraud prevention strategies.

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 and assess model performance.
  • Risk Assessment & Monitoring: Evaluate existing fraud controls, monitor fraud trends, and quantify exposure to evolving threats.
  • Communication & Collaboration: Effectively present analytical findings and model performance to stakeholders.
  • Documentation & Reporting: Maintain comprehensive documentation of model development processes and risk assumptions.
Requirements:
  • A bachelor's or master's degree in a quantitative discipline such as Statistics, Mathematics, Computer Science, Economics, or a related field.
  • At least 6 years of hands-on experience in developing, implementing, and maintaining fraud risk models.
  • Proven experience in fraud analytics and modeling, including transaction monitoring and real-time detection.
  • Strong programming skills in Python, SQL, R, or SAS for model development and data manipulation.
  • Proficiency with machine learning and statistical techniques such as decision trees, clustering, anomaly detection, and neural networks.
Tech Skills:
  • Python
  • SQL
  • Data Science tools
  • Real-time decision engines and fraud detection platforms
About the Role

This is an exciting opportunity to join a team focused on preventing financial crime and protecting our customers.

We're looking for a skilled and experienced analyst who can lead fraud analytics initiatives and collaborate with cross-functional teams.

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