Associate Manager II - Internal Audit

Location: Bengaluru

Associate Manager II - Internal Audit

Location:

Bangalore

About the Team

The Internal Audit team at Navi is transforming into a technology-enabled, analytics-first assurance function. We leverage big data analytics, automation, continuous control monitoring, and AI-enabled workflows to provide deep, real-time insights across Navi’s business lines and platforms.

The team partners closely with multiple functions to embed scalable, system-driven controls while maintaining speed, innovation, and strong governance.

About the Role

We are looking for an Assistant Manager II - Internal Audit with a strong analytics and AI orientation, deep understanding of continuous controls assurance (CCA), and hands-on capability in data tools, automation platforms, and AI enablers.

This role is ideal for an audit professional who:

- Uses data as the primary audit evidence
- Is hands-on with SQL and analytics tools
- Can design automated, continuous audit checks
- Actively applies AI/ML concepts, GenAI and Agentic AI tools to improve audit coverage, speed, and insight quality
- Works seamlessly with Engineering, Product, and Analytics teams

The role will lead analytics, audit automation, and the use of GenAI and Agentic AI in Internal Audit initiatives for non-lending businesses, including UPI, Insurance, Digi Gold and Group Audits across the Navi Group’s full product portfolio. The role reports directly to the Head of Audit.

Key Responsibilities

Analytics-Led Audit Execution

- Plan and execute risk-based audits using data-driven methodologies across multiple business lines.
- Perform full-population testing using SQL and analytics platforms instead of traditional sampling.
- Identify patterns, anomalies, and emerging risks through advanced data analysis.
- Independently lead audits end-to-end with strong analytical rigor and ownership.

Data Analytics & Tools (Hands-On)

- Write and review complex SQL queries to extract, validate, and analyze data from multiple systems.
- Use visualization and BI tools such as Tableau, Power BI, or similar tools to:
- Visualize risks, trends, and control effectiveness
- Build dashboards for continuous monitoring and audit insights
- Apply data analytics and automation tools such as Alteryx, IDEA, or similar tools for:
- Data preparation, blending, and transformation
- Automated rule-based testing and exception identification
- Validate data completeness, accuracy, and integrity across systems and pipelines in collaboration with Data teams.

Continuous Controls Assurance (CCA) & Automation

- Design and implement continuous control monitoring frameworks using system data and business rules.
- Automate recurring audit tests, control validations, and exception reporting using analytics and workflow tools.
- Develop automated audit scripts, dashboards, and alerts for near real-time assurance.
- Identify opportunities to migrate from manual, detective controls to automated, preventive controls embedded in systems.

AI / ML Concepts, Agentic AI & GenAI Enablement

- Apply AI/ML concepts (e.g., anomaly detection, rule-based models, trend analysis) in audit and control testing.
- Actively use Agentic AI & GenAI tools to enhance daily audit workflows, including:
- Designing and refining audit test logic
- Writing and optimizing SQL and analytics scripts
- Drafting, summarizing, and structuring audit documentation and reports
- Accelerating risk assessment, walkthrough analysis, and issue root-cause identification
- Explore and pilot Agentic AI & GenAI-enabled audit use cases to improve audit efficiency, coverage, and insight quality.

Technology & Systems Understanding

- Understand end-to-end data flows, system integrations, APIs, and automated workflows.
- Assess risks arising from system logic, configurations, and data dependencies.
- Work with Engineering and Product teams to evaluate controls embedded within systems and product features.

Risk & Control Assessment

- Evaluate design and operating effectiveness of controls using data-driven evidence.
- Identify systemic and cross-functional risks using analytical techniques.
- Recommend scalable, technology-enabled control improvements aligned with business and platform architecture.

Stakeh…