Chief Data Investigator

5 days ago

Hyderabad, Telangana, India beBeeFraudDetection Full time ₹ 1,50,00,000 - ₹ 2,00,00,000
Job Overview

The role of the Senior Fraud Analyst involves acting as a subject matter expert in fraud risk management, providing support for data, machine learning models, and artificial intelligence technology used in investigation and loss mitigation. This position ensures the effectiveness of investigation tools and technologies, data processes, and reporting that delivers robust and timely data insights to fraud policy, analytics, digital, and risk mitigation teams.

  • Familiarity with hands-on experience in analytics and data science, including model development and exposure to fraud detection is required.
  • 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 and troubleshoot data-related problems and work towards modifications to rectify them.
System Validations
  • Monitor fraud trends, investigate emerging threats, and 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).
  • Review existing control environments and assess 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.
People Management
  • Work collaboratively with a diverse team of operational agents, fraud risk managers, data analysts/scientists, business insight analysts, and 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.

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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