Fraud Analytics & Investigations Analyst – Remote

3433 Genpact US Services, LLC.

United States

Remote

USD 45,000 - 57,000

Full time

10 days ago
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Job summary

Genpact is hiring an Analyst to monitor and analyze financial transactions for fraud, conduct investigations, and develop prevention strategies. The role involves generating actionable reports and staying current with fraud trends and regulatory requirements to ensure robust controls.

Ideal candidates will have strong analytics skills, experience with ETL tools, data modeling, and visualisation platforms, and be comfortable working in a remote, U.S.-based environment.

Qualifications

  • Bachelors in Business Analytics, Computer Science or Statistics.
  • Masters in Data Science or equivalent preferred.
  • Strong foundation in data analytics and modeling principles.

Responsibilities

  • Monitor and analyze financial transactions for signs of fraud.
  • Investigate suspicious activities and collaborate across departments for resolution.
  • Develop and implement fraud prevention strategies and tools to mitigate risks.
  • Generate reports on fraud trends, patterns, and recommended actions for management review.
  • Stay up-to-date on fraud trends, technologies, and regulatory requirements to ensure compliance.

Skills

Ab Initio
Agile Methodology
Alteryx
Data Integration
Data Modeling
Demand Forecasting
Design Thinking
High Volume Replication
Inclusion
Microsoft Excel
Microsoft Power BI
Microsoft VBA
Oracle Data Integrator
Python
SAP BO Data Services
SnapLogic
Statistics
Tableau
Talend
VBA Macros

Education

Bachelor's - Business Analytics
Bachelor's - Computer Science
Bachelor's - Statistics
Masters - Data Science

Tools

Ab Initio

Job description

Genpact is hiring an Analyst to monitor and analyze financial transactions for fraud, conduct investigations, and develop prevention strategies. The role involves generating actionable reports and staying current with fraud trends and regulatory requirements to ensure robust controls.

Ideal candidates will have strong analytics skills, experience with ETL tools, data modeling, and visualisation platforms, and be comfortable working in a remote, U.S.-based environment.

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