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 :

1. AML Transaction Monitoring

2. Fraud Risk Management (FRM)

3. 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.