Audit – IT Audit (Analyst)
Forvis Mazars · Maharashtra
- Company
- Forvis Mazars
- Type
- Job
- Work mode
- On-site
- Location
- Maharashtra
- Posted
- 2 Nov 2026
About this job
Type of contract
Full Time
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.
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.
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.
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…
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