Forensic Data Analytic

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.