Fraud Detection Specialist

1 week ago


Ahmedabad, Gujarat, India beBeeData Full time ₹ 1,50,00,000 - ₹ 2,00,00,000
Job Opportunity: Fraud Analyst Expert

The key member of our Investigation & Loss Mitigation team contributes as a Fraud SME and supports data, machine learning models, and Gen AI technology.

This person will thrive in a fast-paced environment, using creativity to develop great solutions. They should be passionate about Fraud, self-motivated, highly driven, quick, and proactive thinkers who can respectfully challenge the status quo and leverage global best practices.

Key Responsibilities:
  • Hands-on experience in Analytics and Data Science
  • Model Development and exposure to Fraud detection
  • Good Understanding of Large Language Models and other new techniques
  • Data deep dive, Insight generation, Dashboard reporting, and presentation skills
  • End-to-end project delivery and stakeholder management
System Validations:
  • Monitoring fraud trends, investigating emerging threats, and quickly developing and deploying 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
  • Monitor and analyze information and data systems (Indicator Management, Loss ratio pattern) and evaluate their performance to discover ways of enhancing them (new technologies, upgrades)
  • Review existing control environment and assess effectiveness against known fraud schemes
  • Identify control gaps and create insightful analysis to support the implementation of new controls
  • Provide insight as Subject Matter Expert (SME) on Process and control fraud leakages
  • Develop complex technical rules/scenarios to maximize the effectiveness of fraud detection and prevention programs
  • Research/Survey activity regarding Fraud and Risk
  • Analytics related to claims/Dashboard reporting/Presentation Department/Content writing/Framework preparation
  • Present information using data visualization techniques
  • Manage and optimize processes for data intake, validation, mining, and engineering as well as modelling, visualization, and communication deliverables
People Management:
  • Work collaboratively with a diverse team of operational agents, fraud risk managers, data analysts/scientists, business insight analysts, subject matter experts
  • Support Team members to Locate and define new process improvement opportunities
  • Build, develop, and maintain data models, reporting systems, data automation systems, dashboards, and performance metrics support that supports key decisions
Qualifications:
  1. Master's degree in Statistics, Economics, or Engineering, or Professional education in Data Science
  2. Good knowledge of Python, R, SQL, MS Excel, and SQL database & coding
  3. At least a Bachelor's degree in mathematics, Computer Science, Engineering, Economics, Statistics


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