Fraud Analytics Specialist

5 - 10 years

30 - 32 Lacs

Posted:None| Platform: Naukri logo

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Job Type

Full Time

Job Description

  • Job Title: Fraud Analytics Specialist - Bengaluru
  • Job Overview: We are looking for a highly analytical and detail-oriented Fraud Analytics Specialist to join our team. This role is critical in safeguarding our organization against fraudulent activities by leveraging advanced analytics, strategic thinking, and cutting-edge fraud detection tools.

  • Key Responsibilities: Fraud Detection & Prevention Monitor transactional data to identify suspicious patterns and potential fraud Develop and implement fraud detection models and rule-based systems Proactively identify emerging fraud trends and recommend mitigation strategies Collaborate with internal teams to enhance fraud controls and reduce risk exposure
  • Fraud Investigation & Strategy Conduct thorough investigations into suspected fraudulent activities
  • Perform root cause analysis and document findings for internal reporting Design and refine fraud prevention strategies based on data insights Liaise with legal, compliance, and law enforcement teams when necessary
  • Analytics & Reporting Extract, analyze, and interpret large datasets using SQL and Python Build interactive dashboards and visualizations in Tableau to track fraud metrics Generate regular reports on fraud incidents, trends, and KPIs for senior management
  • Evaluate the effectiveness of fraud detection tools and recommend improvements Cross-Functional Collaboration Work closely with product, engineering, risk, and customer support teams Provide training and guidance to internal teams on fraud awareness and best practices Support audits and compliance reviews related to fraud risk management Skills & Attributes
  • Deep understanding of fraud detection, investigation, and prevention techniques Experience designing and executing fraud strategies across digital platforms
  • Familiarity with financial crime patterns, identity theft, and transaction fraud
  • SQL: Advanced querying for data extraction, manipulation, and analysis
  • Tableau: Building dashboards and visualizations for fraud monitoring
  • Python (Preferred): Data analytics, automation, and model development Sentilink
  • Identity verification iOvation Device intelligence LexisNexis Risk solutions Falcon Card fraud detection Visa Payment fraud analytics Zelle Peer-to-peer fraud monitoring

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