
Senior Fraud Intelligence Specialist
1 week ago
The Fraud Risk Leader is a key contributor to the Investigation & Loss Mitigation team, supporting data analysis and reporting.
Key Responsibilities:- Hands-on experience in Data Science.
- Model Development and exposure to Fraud detection.
- Good Understanding of LLMs and other new techniques
- Data deep dive, Insight generation, Dashboard reporting and presentation skill
- End-to-end project delivery and stakeholder management.
- 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.
- Formulate techniques for quality data collection to ensure adequacy, accuracy and legitimacy of data.
- Identify troubleshoot data-related problems and work on modifications to rectify them.
- Monitoring fraud trends, investigating emerging threats, and developing 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.
- Review existing control environment and assess effectiveness against known fraud schemes. Identify control gaps and create insightful analysis to support implementation of new controls.
- Provide insight as Subject Matter Expert (SME) on Process and control fraud leakages.
- Develop complex technical rules/scenarios to maximize effectiveness of fraud detection and prevention programs. Analyze fraud detection alerts and assess need for further investigation.
- 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 manager, 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 support key decisions.
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