The Team:
Our Financial Risk Services team helps organizations navigate the complexities of financial transactions. From governance and compliance to technology and reporting, we enhance transparency, efficiency, and financial integrity. A key focus area is Fraud Analytics, where we empower businesses to detect, prevent, and mitigate fraud risks effectively.
Work You'll Do:
As part of the Fraud Analytics team, you will:
- Fraud Detection & Prevention: Utilize advanced analytics to identify fraudulent activities and patterns.
- Model Development: Develop and deploy predictive models for fraud detection and risk assessment.
- Data Analysis: Analyze large datasets to uncover insights related to financial fraud.
- Risk Assessment: Support risk evaluation processes and improve fraud mitigation strategies.
- Reporting & Visualization: Create dashboards and reports to present findings to stakeholders.
- Client Collaboration: Work closely with clients to understand their fraud-related challenges and provide data-driven solutions.
Skills & Qualifications:
Must-Have Skills:
- Fraud Experience: Hands-on experience in fraud analytics, detection, and prevention.
- Modeling Experience: Proficiency in developing predictive models for fraud risk assessment.
- Programming: Strong coding skills, especially in Python.
- Analytical Thinking: Strong problem-solving and data analysis capabilities.
Good-to-Have Skills:
- BFSI Experience: Experience in the Banking, Financial Services, and Insurance sectors.
- SAS Knowledge: Familiarity with SAS for advanced analytics and statistical modeling.
Educational Qualifications:
- Graduates: B.Tech / B.E. (with relevant analytics experience)
- Postgraduates: M.Sc. in IT, MBA, M.Tech, MCA, or any relevant PG degree in analytics or related fields.
Job Purpose:
Within the SRT Practice, the Analytics Group adopts a risk-based, data-driven approach to help clients improve performance and operational efficiency. Key areas of focus include:
- Risk Assessment
- Control Compliance
- CFO Dashboards
- Business Problem Solving through Analytics (CCM/CTM, Contract Risk, and Compliance)
