Infosys is seeking an Enterprise Fraud Business Analyst to help discover and define the problem statement, evaluate solution options, and make recommendations to enable clients to meet the changing needs of the global payment landscape.
Requirements
- Hands-on experience with fraud data, AI/ML-based fraud detection solutions, and investigation platforms
- Technical understanding of enterprise application interfaces, data mapping, and system integration
- Experience with AI/ML-based fraud detection tools (e.g., Orbograph) and investigation platforms (e.g., Bottomline)
- At least 4 years of experience with Information Technology
- Experience in Fraud Risk Management within the banking/financial services industry
- Proven ability to design and implement fraud operating models and governance frameworks
- Good analytical skills
Responsibilities
- Create detailed design, architecture and process artifacts and implement the deployment plan
- Support knowledge transfer with the objective of providing value-adding consulting solutions
- Analyze and map data flows across enterprise systems to support fraud detection and reporting
- Work with AI/ML-based fraud detection tools (e.g., Orbograph) and investigation platforms (e.g., Bottomline)
- Design and implement fraud operating models, governance structures, and risk management processes
- Collaborate with business and technology stakeholders to define fraud detection and investigation requirements
- Lead the delivery of fraud risk management solutions across the enterprise fraud landscape
Other
- Bachelor’s degree or foreign equivalent required from an accredited institution
- At least 4 years of experience with Information Technology
- Candidate must be located within commuting distance of Morristown, NJ or Raleigh, NC or be willing to relocate to the area
- Travel may be required as per the job requirements
- Excellent leadership, communication, and stakeholder management skills
