Job Description:

- Forensic Investigations & Risk Management

- Perform forensic reviews of structured and unstructured datasets.

- Identify fraud indicators, control weaknesses, and financial irregularities.

- Data Analytics & Technology

- Develop analytics frameworks to detect anomalies, fraud patterns, and risk indicators.

- Execute large-scale data extraction, cleansing, transformation, and analysis.

- Design and deploy continuous monitoring and fraud detection dashboards.

- Apply AI, machine learning, predictive analytics, and statistical techniques in investigations.

- Analyze transactional, financial, operational, ERP, and third-party datasets.

- Use forensic technology tools for document analysis, metadata analysis.

- Advanced Analytics

- Build risk-scoring models and anomaly detection algorithms.

- Perform network analysis, link analysis, and entity-resolution exercises.

- Leverage GenAI-powered analytics and "Talk-to-Data" capabilities for

- investigative insights. [PwC_Draft...al_PwC PNG | PowerPoint]

- Develop visualizations and executive dashboards.

📌 Forensic Data Analytics Manager (Bengaluru)
🏢 Acme Services Private
📍 Bengaluru