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Senior - Fraud Risk Management

Senior - Fraud Risk Management

KPMG India

3 - 6 years

5 - 8 Lacs

Hyderabad

Posted:1 week ago| Platform:

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Skills Required

SAS Trade finance Analytical Market intelligence Gap analysis Risk management Stakeholder management Financial services Monitoring SQL

Work Mode

Work from Office

Job Type

Full Time

Job Description

Job Title: Business Analyst - Fraud Analytics & Intelligence Systems (Banking Domain)

Location: Hyderabad (Onsite)

Duration: Not defined

Experience Required: 3-6 years

Number of Positions: 2

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:

4-6 years of experience as a Business Analyst in the Banking or Financial Services domain.

Proven experience in implementing systems such as:

o AML Transaction Monitoring

o Fraud Risk Management (FRM)

o 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.

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Senior - Fraud Risk Management