Advanced Fraud Prevention Specialist

4 days ago

Alwar, Rajasthan, India beBeeFraud Full time ₹ 13,48,998 - ₹ 18,10,499
Senior Fraud Risk Manager

Job Summary:

The Senior Fraud Risk Manager is a key role that contributes to the effectiveness of fraud detection and prevention programs. The successful candidate will be responsible for maintaining the robustness and timeliness of data insights delivered to various business units.

  • This includes hands-on experience in analytics and data science, model development, and exposure to fraud detection techniques.
  • A good understanding of large language models (LLMs) and other new techniques is essential.
  • Data deep dive, insight generation, dashboard reporting, and presentation skills are also crucial.
  • End-to-end project delivery and stakeholder management are key aspects of this role.

Key Responsibilities:

Data Analytics & Business Insights:

  • IDentify valuable data sources and automate collection processes.
  • Analyze large amounts of information to discover trends and patterns.
  • Combine models through ensemble modeling.
  • Present information using data visualization techniques.
  • Propose solutions and strategies to business challenges.
  • Collaborate with engineering and product development teams.
  • Create and enforce policies for effective data management.
  • Assist with reports and data extraction when needed.

System Validations:

  • Monitor fraud trends, investigate emerging threats, and develop new strategies to manage those threats.
  • Build predictive models and machine-learning algorithms.
  • Analyze structural requirements for new software and applications.
  • Optimize new and current database systems.
  • Review existing control environment and assess effectiveness against known fraud schemes.
  • Identify control gaps and create insightful analysis to support implementation of new controls.

People Management:

  • Work collaboratively with diverse team members to locate and define new process improvement opportunities.
  • Support team members to build, develop, and maintain data models, reporting systems, and dashboards.

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