Principal Fraud Prevention Specialist

1 day ago

Ajmer, Rajasthan, India beBeeFraudRiskManager Full time ₹ 25,00,000 - ₹ 50,00,000
Role Overview

The Fraud Risk Manager is a critical role that contributes to the organization's fraud management capabilities by leveraging data, machine learning models, and Gen AI technology.

This position requires a strong passion for fraud prevention, self-motivation, and a drive to deliver high-quality results.

  • Hands-on experience in analytics and data science is essential.
  • Model development and exposure to fraud detection are necessary.
  • A good understanding of large language models (LLMs) and other new techniques is crucial.
  • Data deep dive, insight generation, dashboard reporting, and presentation skills are required.
  • End-to-end project delivery and stakeholder management are crucial.
Key Responsibilities
  1. Deliver actionable business insights through data analysis.
  2. Identify valuable data sources and automate collection processes.
  3. Analyze large datasets to discover trends and patterns.
  4. Develop and implement ensemble modeling approaches.
  5. Present complex information using data visualization techniques.
  6. Propose solutions to business challenges.
  7. Collaborate with engineering and product development teams.
  8. Create and enforce policies for effective data management.
  9. Assist with reports and data extraction as needed.
  10. Formulate techniques for quality data collection.
  11. Identify and troubleshoot data-related problems.
System Validations
  • Monitor fraud trends, investigate emerging threats, and develop strategies to manage them.
  • Build predictive models and machine-learning algorithms.
  • Optimize database systems and analyze structural requirements for new software and applications.
  • Review existing control environments and assess their effectiveness against known fraud schemes.
  • Provide subject matter expertise on process and control fraud leakages.
  • Develop technical rules/scenarios to maximize fraud detection and prevention program effectiveness.
  • Analyze fraud detection alerts and assess their potential impact.
  • Conduct research/survey activity regarding fraud and risk management.
People Management
  • Collaborate with a diverse team to achieve operational goals.
  • Support team members in identifying and defining process improvement opportunities.
  • Develop and maintain data models, reporting systems, and performance metrics support.

Oversee report design and delivery to analyze business functions and key operations.

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