Business Analyst - Fraud Analytics & Intelligence System

Business Analyst Fraud Analytics & Intelligence Systems (Banking Domain)

Location : Hyderabad (Onsite)

Experience Required : 6 - 10 years

Start Date : Immediate

Role Overview :

We are looking for experienced Business Analysts to support the implementation of fraud analytics and market intelligence system in banking. The BAs will play a key functional role in the end-to-end implementation of a solution similar to Early Warning Systems (EWS), AML Transaction Monitoring, or Fraud Risk Management platforms.

Key Responsibilities :

• Lead the preparation of the Business Requirements Document (BRD) in collaboration with stakeholders.

• Conduct gap analysis, process mapping, and fraud risk scenario modeling.

• Ensure accurate data mapping from internal banking systems (e.g., CBS, Trade Finance, Treasury) and validate data quality.

• Collaborate with technical teams and data scientists to support model validation, risk scoring logic, and fraud detection workflows.

• Define and execute User Acceptance Testing (UAT) scenarios and test cases.

• Coordinate with vendors and internal teams to ensure seamless integration with external data sources (e.g., MCA, CRILC, credit bureaus, media aggregators).

• Support the creation of dashboards and reports for Market Intelligence and Fraud Monitoring.

Required Skills & Experience :

• 6 - 10 years of experience as a Business Analyst in the Banking or Financial Services domain.

• Proven experience in implementing systems such as :

• AML Transaction Monitoring

• Fraud Risk Management (FRM)

• Early Warning Systems (EWS)

• Strong understanding of banking data structures, credit risk, fund flow analysis, and fraud typologies.

• Familiarity with external data integration that may be required for generating market intelligence.

• Experience in functional documentation, UAT coordination, and stakeholder management.

• Knowledge of regulatory frameworks (RBI, SEBI, FIU-IND).

• Excellent communication, analytical, and problem-solving skills.

Tools & Technologies (Preferred) :

• Exposure to tools like SAS, Actimize, Amlock, rt360, or similar.

• Experience with BI tools (Power BI, Tableau) and SQL / data querying tools is a plus.