Skill required: Delivery - Fraud Data & Analytics
Designation: I&F Decision Sci Practitioner Specialist
Qualifications:Any Graduation/B.B.M
Years of Experience:7 to 11 years
About Accenture
Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the world's largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com
What would you do Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the world's largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities. Visit us at www.accenture.com. The Fraud Analytics Manager is responsible for designing, developing, and operationalizing fraud prevention strategies across multiple payment and transaction channels for U.S.-based financial institutions. The role requires strong analytical capability, fraud domain expertise, and the ability to work cross-functionally with analytics, product, compliance, and engineering teams. The position ensures that fraud controls are effective, scalable, and compliant with U.S. regulatory requirements.
What are we looking for
- Fraud Analytics, US Banking
- SQL: Strong proficiency in querying, analysis, and data manipulation
- Python: Experience in data analysis, automation, and rule testing
- Tableau / BI Tools: Ability to create fraud dashboards, metrics reporting, and visualizations
- Experience with fraud risk tools such as Amplitude, iOvation, SentiLink, Emailage (preferred) Roles and Responsibilities:
- Design, develop, and optimize fraud prevention rules across: New Account Opening (NAO), Account Takeover (ATO), Peer-to-Peer (P2P) transactions, Card fraud, ACH transactions, Remote Deposit Capture (RDC), First Party Fraud
- Conduct data analytics to identify fraud trends, evaluate control performance, and produce actionable insights
- Build and maintain BI dashboards (Tableau or similar) to monitor fraud KPIs, rule effectiveness, and incident trends
- Perform fraud case reviews and root cause analysis (RCA) to triage new patterns and propose countermeasures
- Partner with engineering and product teams to implement fraud prevention enhancements, including requirement gathering, JIRA management, and sprint planning
- Ensure adherence to U.S. regulatory standards such as KYC, Reg E, and relevant AML/fraud control frameworks
- Support operational readiness and continuous improvement of fraud monitoring processes
