DA intern
Gurgaon · Internship
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What we know about this role
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Job description
The intern will support the design, development, testing, and deployment of AI-enabled data analytics use cases for Internal Audit using PayU's internal capabilities, including the Toqan platform, enterprise data sources, and engineering support. The objective is to establish a scalable, sustainable, and internally owned analytics capability for continuous auditing, compliance monitoring, exception detection, and risk identification. We need the intern for minimum 6 months (Oct 26 – Mar 27). The upper cap will be INR 50k per month.
Key Responsibilities
1. Toqan-Based Use Case Development
- Collaborate with Internal Audit, Engineering, Product, and business teams to develop data analytics use cases on the Toqan platform.
- Translate audit requirements into analytical logic, workflows, and AI-enabled monitoring solutions.
- Configure, test, validate, and optimize use cases before deployment.
- Document data requirements, business rules, and exception logic for each use case.
2. AI & Advanced Analytics Implementation
Support the implementation of use cases as required by IA team
3. Data Engineering & Platform Integration
- Build and test data pipelines connecting Toqan with enterprise systems such as Salesforce, AWS Data Lake, databases, and operational platforms.
- Support automation of recurring audit analytics workflows.
- Establish data quality validation and reconciliation checks.
- Assist in creation of reusable analytics components and frameworks.
4. AI-Powered Audit Capability Development
- Evaluate opportunities to leverage NLP, Gen-AI, and agent-based analytics solutions within Toqan.
- Develop natural language interfaces for querying audit data.
- Build anomaly detection, trend analysis, and predictive risk models.
- Support development of automated exception reporting and continuous monitoring capabilities.
5. Testing, Monitoring & Continuous Improvement
- Perform UAT and validate outputs against source systems.
- Assist audit teams in interpreting analytics results.
- Monitor deployed use cases and recommend enhancements.
- Maintain technical and business documentation for implemented solutions.
- Support measurement of value realization, including regulatory compliance improvements, risk reduction, and cost savings.
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