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As a senior risk modeling expert, you will design and develop predictive models to detect and prevent financial fraud. You'll analyze emerging trends, assess risk, and communicate insights to stakeholders while collaborating with cross-functional teams.

Key Responsibilities:
  • Model Development & Validation: Build, implement, and validate advanced statistical and machine learning-based fraud detection models.
  • Data Analysis & Interpretation: Analyze large-scale transactional and behavioral data to identify patterns and provide actionable insights.
  • Risk Assessment & Monitoring: Evaluate existing controls, monitor trends, and quantify exposure to evolving threats.
  • Communication & Collaboration: Present analytical findings and model performance to technical and non-technical stakeholders.
  • Documentation & Reporting: Maintain comprehensive documentation of model development processes and risk assumptions.
Requirements:
  • Bachelor's or Master's degree in a quantitative field such as statistics, mathematics, computer science, economics, data science, or a related field.
  • 6 to 7 years of hands-on experience in developing, implementing, and maintaining fraud risk models across products and channels.
  • Proven expertise in fraud analytics and modeling, including real-time detection and machine learning-driven approaches.