Assistant Manager

We are looking for experienced Business Analysts to support the implementation of fraud analytics for banking clients. 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) 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., i4c, etc).
Support development and validation of Machine Learning models for fraud, financial crimes, transaction and customer risk
Required Skills & Experience:
3-7 years of experience as a Business Analyst in the Banking or Financial Services domain.
Proven experience in implementing systems such as:
Enterprise Fraud Risk Management
AML Transaction Monitoring
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
Experience in implementation of Anti Fraud machine learning models
Tools & Technologies (Preferred):
Exposure to tools like SAS, Actimize, or similar.
Experience with BI tools (Power BI, Tableau) and SQL / data querying tools is a plus.

Work arrangement
No