Senior Fraud Investigator

Job Title: Senior Fraud Analyst

About the Role:

The Senior Fraud Analyst will contribute as a subject matter expert and support data, machine learning models, and generative AI technology, along with reporting analysts of investigation & loss mitigation. This person will maintain the effectiveness of investigation tools and technologies, data processes, and reporting that delivers robust and timely data insights to fraud policy, fraud analytics, fraud digital, and risk mitigation.

• Familiarity with analytics and data science is required.
• Model development and exposure to fraud detection are essential.
• A good understanding of large language models and other new techniques is necessary.
• Data deep dive, insight generation, dashboard reporting, and presentation skills are crucial.
• End-to-end project delivery and stakeholder management are key responsibilities.

Key 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 and work on modifications to rectify them.

System Validations:

• Monitor fraud trends, investigate emerging threats, and quickly develop and deploy 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 etc.).
• Review existing control environments 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. 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.

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.

Oversee the design and delivery of reports and insights that analyze business functions and key operations and performance metrics.

Educational 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, Statistics.