Data Driven Fraud Risk Manager

4 days ago

Dombivli, Maharashtra, India beBeeFraud Full time ₹ 1,00,00,000 - ₹ 2,00,00,000
Job Summary

We are seeking a seasoned Fraud Risk Manager to contribute as a subject matter expert and support data, machine learning models, and generative AI technology.

The ideal candidate thrives in a fast-paced environment where creativity and practicality lead to innovative solutions.

  • Hands-on experience in analytics and data science is required.
  • Model development and exposure to fraud detection are also expected.
  • A good understanding of large language models and other new techniques is necessary.
  • Data deep dive, insight generation, dashboard reporting, and presentation skills are essential.
  • End-to-end project delivery and stakeholder management are crucial.
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 troubleshoot data-related problems and work on modifications to rectify the same.
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 etc.).
  • Review of 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. 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 modeling, visualization, and communication deliverables.
People Management
  • Work collaboratively with a diverse team of operational agents, fraud risk manager, data analysts/scientists, business insight analysts, subject matter experts.
  • Support to 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.
Educational Qualifications
  1. M.Sc in Statistics, Economics or Engineering degree 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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