
Fraud Detection Specialist
1 week ago
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
- 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
- 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
- Master's degree in Statistics, Economics, or Engineering, 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, Statistics
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