Senior - Fraud Risk Management
KPMG
6 - 8 years
Hyderabad
Posted: 31/07/2025
Job Description
About KPMG in India
KPMG entities in India are professional services firm(s). These Indian member firms are affiliated with KPMG International Limited. KPMG was established in India in August 1993. Our professionals leverage the global network of firms, and are conversant with local laws, regulations, markets and competition. KPMG has offices across India in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Jaipur, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara and Vijayawada.
KPMG entities in India offer services to national and international clients in India across sectors. We strive to provide rapid, performance-based, industry-focused and technology-enabled services, which reflect a shared knowledge of global and local industries and our experience of the Indian business environment.
TempHtmlFileLocation: 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.
| Equal employment opportunity information KPMG India has a policy of providing equal opportunity for all applicants and employees regardless of their color, caste, religion, age, sex/gender, national origin, citizenship, sexual orientation, gender identity or expression, disability or other legally protected status. KPMG India values diversity and we request you to submit the details below to support us in our endeavor for diversity. Providing the below information is voluntary and refusal to submit such information will not be prejudicial to you. |
About Company
KPMG (Klynveld Peat Marwick Goerdeler) is a global professional services firm that provides audit, tax, and advisory services. Headquartered in Amstelveen, Netherlands, it operates in over 140 countries, helping organizations improve performance, manage risks, and comply with regulations. KPMG serves diverse industries, including financial services, healthcare, and technology, offering expertise in areas like strategy, compliance, digital transformation, and sustainability.
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