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Financial Crime Analyst

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Lucknow, Uttar Pradesh, India beBeeRisk Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Key Role: Senior Fraud Risk Modeler

The fraud risk modeler role involves creating and refining sophisticated algorithms to detect financial crimes across multiple channels.

  • Primary Responsibilities:
  • Develop, test and refine predictive models using statistical and machine learning techniques to identify high-risk transactions for credit card products.
  • Analyze extensive transactional data to identify anomalies, assess model performance and provide actionable insights.
  • Evaluate existing anti-fraud controls, monitor trends and quantify exposure to emerging threats across digital and traditional channels.
  • Effectively communicate analytical findings and model results to both technical and non-technical stakeholders.
  • Maintain comprehensive documentation of the development process, risk assumptions, fraud detection frameworks and compliance requirements.

Requirements:

  • Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, Data Science or a related discipline.
  • 6 to 7 years of hands-on experience in banking, specifically in developing, implementing and maintaining fraud risk models across various products and channels.
  • Proven expertise in fraud analytics and modeling, including real-time detection and rules-based approaches.
  • 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 and anomaly detection.
  • Strong understanding of fraud typologies and prevention technologies.