Urgent Hiring For Data Analytics Fraud

16 hours ago


Bengaluru Hyderabad Pune, India 2c06f8ae-83f0-42a8-b423-37ea0cc2f661 Full time ₹ 5,00,000 - ₹ 15,00,000 per year

Job Title: Data Analyst Fraud Analytics

Experience: 1 to 6 Years

Location: Bangalore / Gurgaon / Hyderabad / Pune

Qualification: Graduate / Post Graduate (Preferred: Finance, Commerce, Analytics, Economics, Statistics, Engineering, or related fields)

Industry / Domain: US Banking – Credit & Debit Cards

Shift: Rotational Shift

Notice Period: 0 – 30 Days

Skills Required:

  • Strong MS Excel proficiency (Advanced Excel preferred)
  • Basic SQL (query writing, data extraction)
  • Data Analytics & Reporting
  • Fraud Investigation & Monitoring
  • 3DS Authentication
  • Portfolio Monitoring & KPI Tracking
  • Trend Analysis & Data Interpretation
  • Strong analytical and problem-solving skills
  • Good communication and stakeholder management

Roles & Responsibilities:

  • Perform fraud analytics and investigate suspicious credit/debit card transactions.
  • Monitor 3DS authentication and fraud detection systems to identify fraud risks.
  • Analyze structured and unstructured datasets to identify trends, patterns, and anomalies.
  • Use Excel and SQL for data extraction, manipulation, and reporting.
  • Monitor key performance indicators (KPIs), portfolio trends, and early warning signals.
  • Prepare dashboards, presentations, and analytical reports for business leaders.
  • Support the development and enhancement of fraud risk strategies and controls in line with US Banking regulations.
  • Collaborate with operations, fraud, and risk teams to optimize fraud monitoring processes.
  • Perform daily, weekly, and monthly fraud checks and reporting.
  • Conduct root cause analysis and develop preventive measures for emerging fraud patterns.
  • Assist with ad-hoc fraud risk analysis and special projects.

Preferred Exposure / Good to Have:

  • Experience in US Banking or Financial Services Domain
  • Knowledge of credit/debit card transaction lifecycle
  • Hands-on experience with fraud detection platforms (e.g., Actimize, Falcon, SAS, etc.)
  • Understanding of fraud risk management frameworks and regulatory guidelines


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