Audit – IT Audit (Analyst)

Type of contract

Full Time

Location

Pune (Delivery Platform), India

Service line

IT audit

• *Role:** Audit – IT Audit (Analyst)

• *Location:** Pune

• *Purpose of the role**

The Analyst / Senior Analysts is a hands\-on technical contributor within the IT Audit team. The role focuses on executing IT audit procedures (normal as well as AI\-enabled), developing analytics scripts and prototypes, and supporting senior team members in building out the firm’s AI audit capability. The Analyst / Senior Analysts typically operates on defined workstreams under the guidance of an Assistant Manager or Manager.

• *Key responsibilities**

• *AI enablement for audit**

• **Develop and maintain** AI\-enabled audit accelerators, scripts and analytics routines (data ingestion, control testing, anomaly detection, journal entry testing automation).
• **Support audit teams** in the operational use of AI tools (Copilot\-style assistants, data platforms) on live engagements.
• **Document** the technical approach, parameters and limitations of each AI accelerator so that the work is reproducible and auditable.

• *AI risk and audit execution**

• **Execute** audit procedures on client AI/ML systems under supervision: data quality and lineage testing, model documentation review, output sampling, basic bias and explainability checks.
• **Contribute** to the integration of AI considerations into ITGC, ITAC and SOX testing under the methodology defined by senior team members.
• **Track** AI regulatory developments (EU AI Act, sectoral guidance) and summarise impacts for the team.

• *Data and analytics**

• **Perform** exploratory data analysis on large datasets extracted from SAP, Oracle and other ERP systems.
• **Build** dashboards, scripts and simple models to support audit procedures (Python, SQL, Power BI / Tableau).
• **Translate** analytical outputs into audit\-relevant insights with the support of senior staff.

• *Collaboration**

• **Work** collaboratively with IT auditors, business audit teams and technology specialists.
• **Contribute** to internal knowledge sharing: tooling documentation, training material, lessons learned.

• *Required qualifications**

• *Education**

• Bachelor’s or Master’s degree in Computer Science, IT, Data Science, AI, Engineering, or a related quantitative/technical discipline OR Chartered Accountant / ACCA with experience in IT Audit or AI.

• *Certifications**

• ISACA CISA — desirable, not mandatory.
• ISACA Advanced in AI Audit (AAIA) — a plus.

• *Experience**

• 1 to 4 years in data analytics, data science, AI/ML, IT audit, IT risk, cybersecurity or software development.
• Prior exposure to audit or assurance projects (ITGC, ITAC, SOX, PCAOB) is appreciated but not mandatory.

• *Core skills**

• *General technical skills**

• Working proficiency in Python and SQL.
• Solid understanding of data structures and exploratory data analysis.
• Familiarity with Power BI or Tableau.
• Awareness of cloud platforms (Azure, AWS, GCP) is appreciated.
• Exposure to SAP or Oracle data extraction is appreciated.

• *AI\-specific skills**

• Exposure to AI/ML concepts: training, evaluation, model lifecycle.
• Familiarity with at least one AI/ML library (scikit\-learn, PyTorch or TensorFlow) is a plus.
• Awareness of LLM\-based tools (Copilot\-style assistants, prompt design).
• Interest in AI governance, ethics, bias and explainability.

• *Audit and risk awareness (nice to have)**

• Basic awareness of ITGC, SOX/ICFR and IT risk concepts.
• Curiosity about regulatory landscapes affecting technology audits.

• *Soft skills**

• Analytical rigour and attention to detail.
• Ability to follow defined procedures and document work clearly.
• Willingness to learn audit concepts and translate technical outputs into audit\-relevant language.
• Collaborative attitude and high learning agility.

• *What success looks like in year one**

• Has delivered, under supervision, the technical components of at least two AI\-enabled audit engagements.
• Has built or contributed to at least one reusable accelerator or script integrated into the team’s library.
• Demonstrates a working command of the AI audit methodology and is starting to operate autonomously on defined tasks.

At Forvis Mazars, we embrace diversity and are committed to fostering an inclusive culture where everyone feels valued, heard, and empowered. We provide equal opportunities for growth and advancement, regardless of background, identity, or experience. Join a global team where your unique perspective helps shape a more equitable and innovative future. If you’re ready to make an impact and elevate your career, we’d love to hear from you.