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Distinguished Fraud Detection Specialist
3 weeks ago
This is a key role that contributes to the organization by supporting data, machine learning models, and Gen AI technology analysts. The Fraud Risk Manager will also operate as an individual contributor on strategic initiatives.
Maintaining the effectiveness of investigation tools and technologies, data processes, and reporting that deliver robust and timely data insights to key stakeholders is crucial for success in this role.
This person should be passionate about fraud - self-motivated, highly driven, quick, and proactive thinker who can respectfully challenge the status quo and leverage global best practices.
Main 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.
- Formulate techniques for quality data collection to ensure adequacy, accuracy, and legitimacy of data.
- Identify and troubleshoot data-related problems.
- 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 and evaluate their performance.
- Review existing control environments and assess their effectiveness against known fraud schemes.
- 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.
- 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 key decisions.
- 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.
