Data Insights Specialist

1 day ago


Allahabad, Uttar Pradesh, India beBeeFraud Full time ₹ 15,00,000 - ₹ 25,00,000
Senior Fraud Analyst Position

We are looking for a highly skilled Senior Fraud Analyst to join our organization.

The successful candidate will be responsible for contributing as a Fraud Subject Matter Expert (SME), supporting data, machine learning models, and Gen AI technology.

Main Responsibilities:
  • Hands-on experience in analytics and data science with the ability to analyze large amounts of information to discover trends and patterns.
  • Model development and exposure to fraud detection techniques.
  • Good understanding of large language models (LLMs) and other new techniques.
  • Data deep dive, insight generation, dashboard reporting, and presentation skills.
  • End-to-end project delivery and stakeholder management.
Key Accountabilities:
  • Data analytics and business insights with the ability to propose solutions and strategies to business challenges.
  • Identify valuable data sources and automate collection processes.
  • 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 to discover ways of enhancing them.
  • Review existing control environments and assess their effectiveness against known fraud schemes.
  • Provide insight as a 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 the need for further investigation.
  • Research/survey activity regarding fraud and risk.
Required Skills and 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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