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Senior Fraud Risk Specialist

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Rajahmundry, Andhra Pradesh, India beBeeFraudRiskManager Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Job Description

The role of Fraud Risk Manager is a critical position that requires expertise in fraud analysis and mitigation. The successful candidate will contribute as a Subject Matter Expert (SME) to support data, machine learning models, and artificial intelligence technology. They will work closely with the Investigation & Loss Mitigation team to deliver robust and timely data insights to various stakeholders.

  • Hands-on experience in analytics and data science is essential for this role.
  • Model development and exposure to fraud detection are also crucial skills.
  • Good understanding of Large Language Models (LLMs) and other advanced techniques is required.
  • Data deep dive, insight generation, dashboard reporting, and presentation skills are necessary for effective communication.
  • End-to-end project delivery and stakeholder management are key responsibilities.
Key Responsibilities
  1. Principal Accountabilities:
  • 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.
  • System Validations:
    • Monitor fraud trends, investigate emerging threats, and develop new strategies to manage those threats.
    • Build predictive models and machine-learning algorithms.
    • Optimize new and current database systems.
  • People Management:
    • Collaborate with a diverse team of operational agents, fraud risk managers, data analysts/scientists, business insight analysts, and subject matter experts.
    Required Skills and Qualifications
    • M.Sc in Statistics, Economics, or Engineering degree or Professional education in Data Science.
    • Good knowledge of Python, R, SQL, MS Excel, and SQL database & coding.
    • At least a bachelor's degree in mathematics, Computer Science, Engineering, Economics, or Statistics.